https://launchpad.net/ubuntu/+archive/test-rebuild-20200327-focal/+build/18968057 RUN: /usr/share/launchpad-buildd/bin/builder-prep Kernel version: Linux lcy01-amd64-026 4.4.0-176-generic #206-Ubuntu SMP Fri Feb 28 05:02:04 UTC 2020 x86_64 Buildd toolchain package versions: launchpad-buildd_188 python-lpbuildd_188 sbuild_0.67.0-2ubuntu7.1 bzr-builder_0.7.3+bzr174~ppa13~ubuntu14.10.1 bzr_2.7.0-2ubuntu3.1 git-build-recipe_0.3.6~git201906051340.ff11471~ubuntu16.04.1 git_1:2.7.4-0ubuntu1.7 dpkg-dev_1.18.4ubuntu1.6 python-debian_0.1.27ubuntu2. Syncing the system clock with the buildd NTP service... 7 Apr 16:14:25 ntpdate[1907]: adjust time server 10.211.37.1 offset 0.231801 sec RUN: /usr/share/launchpad-buildd/bin/in-target unpack-chroot --backend=chroot --series=focal --arch=amd64 PACKAGEBUILD-18968057 --image-type chroot /home/buildd/filecache-default/900826adb60e25cda6fdb4122eeaecf6bf29a953 Creating target for build PACKAGEBUILD-18968057 RUN: /usr/share/launchpad-buildd/bin/in-target mount-chroot --backend=chroot --series=focal --arch=amd64 PACKAGEBUILD-18968057 Starting target for build PACKAGEBUILD-18968057 RUN: /usr/share/launchpad-buildd/bin/in-target override-sources-list --backend=chroot --series=focal --arch=amd64 PACKAGEBUILD-18968057 'deb http://ftpmaster.internal/ubuntu focal main universe' Overriding sources.list in build-PACKAGEBUILD-18968057 RUN: /usr/share/launchpad-buildd/bin/in-target update-debian-chroot --backend=chroot --series=focal --arch=amd64 PACKAGEBUILD-18968057 Updating target for build PACKAGEBUILD-18968057 Get:1 http://ftpmaster.internal/ubuntu focal InRelease [265 kB] Get:2 http://ftpmaster.internal/ubuntu focal/main amd64 Packages [972 kB] Get:3 http://ftpmaster.internal/ubuntu focal/main Translation-en [502 kB] Get:4 http://ftpmaster.internal/ubuntu focal/universe amd64 Packages [8594 kB] Get:5 http://ftpmaster.internal/ubuntu focal/universe Translation-en [5129 kB] Fetched 15.5 MB in 4s (4386 kB/s) Reading package lists... Reading package lists... Building dependency tree... Reading state information... Calculating upgrade... The following packages will be upgraded: apt libapt-pkg6.0 login passwd pinentry-curses 5 upgraded, 0 newly installed, 0 to remove and 0 not upgraded. Need to get 3176 kB of archives. After this operation, 2048 B of additional disk space will be used. Get:1 http://ftpmaster.internal/ubuntu focal/main amd64 login amd64 1:4.8.1-1ubuntu4 [221 kB] Get:2 http://ftpmaster.internal/ubuntu focal/main amd64 libapt-pkg6.0 amd64 2.0.1ubuntu1 [834 kB] Get:3 http://ftpmaster.internal/ubuntu focal/main amd64 apt amd64 2.0.1ubuntu1 [1289 kB] Get:4 http://ftpmaster.internal/ubuntu focal/main amd64 passwd amd64 1:4.8.1-1ubuntu4 [797 kB] Get:5 http://ftpmaster.internal/ubuntu focal/main amd64 pinentry-curses amd64 1.1.0-3build1 [36.3 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 3176 kB in 0s (8335 kB/s) (Reading database ... 12814 files and directories currently installed.) Preparing to unpack .../login_1%3a4.8.1-1ubuntu4_amd64.deb ... Unpacking login (1:4.8.1-1ubuntu4) over (1:4.8.1-1ubuntu3) ... Setting up login (1:4.8.1-1ubuntu4) ... (Reading database ... 12814 files and directories currently installed.) Preparing to unpack .../libapt-pkg6.0_2.0.1ubuntu1_amd64.deb ... Unpacking libapt-pkg6.0:amd64 (2.0.1ubuntu1) over (2.0.1) ... Setting up libapt-pkg6.0:amd64 (2.0.1ubuntu1) ... (Reading database ... 12814 files and directories currently installed.) Preparing to unpack .../apt_2.0.1ubuntu1_amd64.deb ... Unpacking apt (2.0.1ubuntu1) over (2.0.1) ... Setting up apt (2.0.1ubuntu1) ... (Reading database ... 12814 files and directories currently installed.) Preparing to unpack .../passwd_1%3a4.8.1-1ubuntu4_amd64.deb ... Unpacking passwd (1:4.8.1-1ubuntu4) over (1:4.8.1-1ubuntu3) ... Setting up passwd (1:4.8.1-1ubuntu4) ... (Reading database ... 12814 files and directories currently installed.) Preparing to unpack .../pinentry-curses_1.1.0-3build1_amd64.deb ... Unpacking pinentry-curses (1.1.0-3build1) over (1.1.0-3) ... Setting up pinentry-curses (1.1.0-3build1) ... Processing triggers for libc-bin (2.31-0ubuntu7) ... RUN: /usr/share/launchpad-buildd/bin/sbuild-package PACKAGEBUILD-18968057 amd64 focal -c chroot:build-PACKAGEBUILD-18968057 --arch=amd64 --dist=focal --nolog -A r-cran-rstanarm_2.19.2-2.dsc Initiating build PACKAGEBUILD-18968057 with 4 jobs across 4 processor cores. Kernel reported to sbuild: 4.4.0-176-generic #206-Ubuntu SMP Fri Feb 28 05:02:04 UTC 2020 x86_64 sbuild (Debian sbuild) 0.67.0 (26 Dec 2015) on lcy01-amd64-026.buildd +==============================================================================+ | r-cran-rstanarm 2.19.2-2 (amd64) 07 Apr 2020 16:14 | +==============================================================================+ Package: r-cran-rstanarm Version: 2.19.2-2 Source Version: 2.19.2-2 Distribution: focal Machine Architecture: amd64 Host Architecture: amd64 Build Architecture: amd64 I: NOTICE: Log filtering will replace 'build/r-cran-rstanarm-pSfieR/r-cran-rstanarm-2.19.2' with '<>' I: NOTICE: Log filtering will replace 'build/r-cran-rstanarm-pSfieR' with '<>' I: NOTICE: Log filtering will replace 'home/buildd/build-PACKAGEBUILD-18968057/chroot-autobuild' with '<>' +------------------------------------------------------------------------------+ | Fetch source files | +------------------------------------------------------------------------------+ Local sources ------------- r-cran-rstanarm_2.19.2-2.dsc exists in .; copying to chroot Check architectures ------------------- Check dependencies ------------------ Merged Build-Depends: build-essential, fakeroot Filtered Build-Depends: build-essential, fakeroot dpkg-deb: building package 'sbuild-build-depends-core-dummy' in '/<>/resolver-PQBVEo/apt_archive/sbuild-build-depends-core-dummy.deb'. Ign:1 copy:/<>/resolver-PQBVEo/apt_archive ./ InRelease Get:2 copy:/<>/resolver-PQBVEo/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-PQBVEo/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-PQBVEo/apt_archive ./ Sources [214 B] Get:5 copy:/<>/resolver-PQBVEo/apt_archive ./ Packages [525 B] Fetched 2858 B in 0s (113 kB/s) Reading package lists... Reading package lists... +------------------------------------------------------------------------------+ | Install core build dependencies (apt-based resolver) | +------------------------------------------------------------------------------+ Installing build dependencies Reading package lists... Building dependency tree... Reading state information... The following NEW packages will be installed: sbuild-build-depends-core-dummy 0 upgraded, 1 newly installed, 0 to remove and 0 not upgraded. Need to get 852 B of archives. After this operation, 0 B of additional disk space will be used. Get:1 copy:/<>/resolver-PQBVEo/apt_archive ./ sbuild-build-depends-core-dummy 0.invalid.0 [852 B] debconf: delaying package configuration, since apt-utils is not installed Fetched 852 B in 0s (0 B/s) Selecting previously unselected package sbuild-build-depends-core-dummy. (Reading database ... 12814 files and directories currently installed.) Preparing to unpack .../sbuild-build-depends-core-dummy_0.invalid.0_amd64.deb ... Unpacking sbuild-build-depends-core-dummy (0.invalid.0) ... Setting up sbuild-build-depends-core-dummy (0.invalid.0) ... Merged Build-Depends: debhelper-compat (= 12), dh-r, r-base-dev, r-cran-rcpp (>= 0.12.0), r-cran-bayesplot (>= 1.7.0), r-cran-ggplot2 (>= 2.2.1), r-cran-lme4, r-cran-loo (>= 2.1.0), r-cran-matrix (>= 1.2-13), r-cran-nlme, r-cran-rstan (>= 2.19.1), r-cran-rstantools (>= 2.0.0), r-cran-shinystan, r-cran-survival (>= 2.40.1), r-cran-stanheaders (>= 2.19.0), r-cran-bh, r-cran-rcppeigen (>= 0.3.3.3.0) Filtered Build-Depends: debhelper-compat (= 12), dh-r, r-base-dev, r-cran-rcpp (>= 0.12.0), r-cran-bayesplot (>= 1.7.0), r-cran-ggplot2 (>= 2.2.1), r-cran-lme4, r-cran-loo (>= 2.1.0), r-cran-matrix (>= 1.2-13), r-cran-nlme, r-cran-rstan (>= 2.19.1), r-cran-rstantools (>= 2.0.0), r-cran-shinystan, r-cran-survival (>= 2.40.1), r-cran-stanheaders (>= 2.19.0), r-cran-bh, r-cran-rcppeigen (>= 0.3.3.3.0) dpkg-deb: building package 'sbuild-build-depends-r-cran-rstanarm-dummy' in '/<>/resolver-bRnNPH/apt_archive/sbuild-build-depends-r-cran-rstanarm-dummy.deb'. Ign:1 copy:/<>/resolver-bRnNPH/apt_archive ./ InRelease Get:2 copy:/<>/resolver-bRnNPH/apt_archive ./ Release [2119 B] Ign:3 copy:/<>/resolver-bRnNPH/apt_archive ./ Release.gpg Get:4 copy:/<>/resolver-bRnNPH/apt_archive ./ Sources [353 B] Get:5 copy:/<>/resolver-bRnNPH/apt_archive ./ Packages [676 B] Fetched 3148 B in 0s (141 kB/s) Reading package lists... Reading package lists... +------------------------------------------------------------------------------+ | Install r-cran-rstanarm build dependencies (apt-based resolver) | +------------------------------------------------------------------------------+ Installing build dependencies Reading package lists... Building dependency tree... Reading state information... The following additional packages will be installed: autoconf automake autopoint autotools-dev bsdmainutils dctrl-tools debhelper dh-autoreconf dh-r dh-strip-nondeterminism dwz file fontconfig fontconfig-config fonts-dejavu-core fonts-font-awesome fonts-glewlwyd fonts-glyphicons-halflings gettext gettext-base gfortran gfortran-9 groff-base icu-devtools intltool-debian libarchive-zip-perl libasn1-8-heimdal libblas-dev libblas3 libboost-dev libboost1.71-dev libbrotli1 libbsd0 libbz2-dev libcairo2 libcroco3 libcurl4 libdatrie1 libdebhelper-perl libelf1 libexpat1 libfile-stripnondeterminism-perl libfile-which-perl libfontconfig1 libfreetype6 libfribidi0 libgfortran-9-dev libgfortran5 libglib2.0-0 libgraphite2-3 libgssapi-krb5-2 libgssapi3-heimdal libharfbuzz0b libhcrypto4-heimdal libheimbase1-heimdal libheimntlm0-heimdal libhx509-5-heimdal libice6 libicu-dev libicu66 libjbig0 libjpeg-dev libjpeg-turbo8 libjpeg-turbo8-dev libjpeg8 libjpeg8-dev libjs-bootstrap libjs-d3 libjs-es5-shim libjs-highlight.js libjs-jquery libjs-jquery-datatables libjs-jquery-datatables-extensions libjs-jquery-selectize.js libjs-jquery-ui libjs-json libjs-microplugin.js libjs-sifter.js libjs-twitter-bootstrap-datepicker libk5crypto3 libkeyutils1 libkrb5-26-heimdal libkrb5-3 libkrb5support0 liblapack-dev liblapack3 libldap-2.4-2 libldap-common liblzma-dev libmagic-mgc libmagic1 libncurses-dev libncurses5-dev libnghttp2-14 libnlopt0 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpaper-utils libpaper1 libpcre16-3 libpcre2-16-0 libpcre2-32-0 libpcre2-dev libpcre2-posix2 libpcre3-dev libpcre32-3 libpcrecpp0v5 libpipeline1 libpixman-1-0 libpng-dev libpsl5 libreadline-dev libroken18-heimdal librtmp1 libsasl2-2 libsasl2-modules-db libsigsegv2 libsm6 libssh-4 libsub-override-perl libswitch-perl libtcl8.6 libthai-data libthai0 libtiff5 libtk8.6 libtool libuchardet0 libuv1 libwebp6 libwind0-heimdal libx11-6 libx11-data libxau6 libxcb-render0 libxcb-shm0 libxcb1 libxdmcp6 libxext6 libxft2 libxml2 libxmuu1 libxrender1 libxss1 libxt6 littler m4 man-db node-html5shiv node-normalize.css pkg-config po-debconf r-base-core r-base-dev r-cran-askpass r-cran-assertthat r-cran-backports r-cran-base64enc r-cran-bayesplot r-cran-bh r-cran-boot r-cran-callr r-cran-checkmate r-cran-cli r-cran-colorspace r-cran-colourpicker r-cran-crayon r-cran-crosstalk r-cran-curl r-cran-desc r-cran-digest r-cran-dplyr r-cran-dt r-cran-dygraphs r-cran-ellipsis r-cran-fansi r-cran-farver r-cran-fastmap r-cran-ggplot2 r-cran-ggridges r-cran-glue r-cran-gridextra r-cran-gtable r-cran-gtools r-cran-htmltools r-cran-htmlwidgets r-cran-httpuv r-cran-igraph r-cran-inline r-cran-jsonlite r-cran-labeling r-cran-later r-cran-lattice r-cran-lazyeval r-cran-lifecycle r-cran-littler r-cran-lme4 r-cran-loo r-cran-magrittr r-cran-markdown r-cran-mass r-cran-matrix r-cran-matrixstats r-cran-mgcv r-cran-mime r-cran-miniui r-cran-minqa r-cran-munsell r-cran-nlme r-cran-nloptr r-cran-openssl r-cran-packrat r-cran-pillar r-cran-pkgbuild r-cran-pkgconfig r-cran-pkgkitten r-cran-plogr r-cran-plyr r-cran-prettyunits r-cran-processx r-cran-promises r-cran-ps r-cran-purrr r-cran-r6 r-cran-rcolorbrewer r-cran-rcpp r-cran-rcppeigen r-cran-reshape2 r-cran-rlang r-cran-rprojroot r-cran-rsconnect r-cran-rstan r-cran-rstantools r-cran-rstudioapi r-cran-scales r-cran-shiny r-cran-shinyjs r-cran-shinystan r-cran-shinythemes r-cran-sourcetools r-cran-stanheaders r-cran-stringi r-cran-stringr r-cran-survival r-cran-sys r-cran-threejs r-cran-tibble r-cran-tidyselect r-cran-utf8 r-cran-vctrs r-cran-viridislite r-cran-withr r-cran-xfun r-cran-xtable r-cran-xts r-cran-yaml r-cran-zoo ucf unzip x11-common xauth xdg-utils zip zlib1g-dev Suggested packages: autoconf-archive gnu-standards autoconf-doc wamerican | wordlist whois vacation debtags dh-make gettext-doc libasprintf-dev libgettextpo-dev gfortran-multilib gfortran-doc gfortran-9-multilib gfortran-9-doc libcoarrays-dev groff liblapack-doc libboost-doc libboost1.71-doc libboost-atomic1.71-dev libboost-chrono1.71-dev libboost-container1.71-dev libboost-context1.71-dev libboost-contract1.71-dev libboost-coroutine1.71-dev libboost-date-time1.71-dev libboost-exception1.71-dev libboost-fiber1.71-dev libboost-filesystem1.71-dev libboost-graph1.71-dev libboost-graph-parallel1.71-dev libboost-iostreams1.71-dev libboost-locale1.71-dev libboost-log1.71-dev libboost-math1.71-dev libboost-mpi1.71-dev libboost-mpi-python1.71-dev libboost-numpy1.71-dev libboost-program-options1.71-dev libboost-python1.71-dev libboost-random1.71-dev libboost-regex1.71-dev libboost-serialization1.71-dev libboost-stacktrace1.71-dev libboost-system1.71-dev libboost-test1.71-dev libboost-thread1.71-dev libboost-timer1.71-dev libboost-type-erasure1.71-dev libboost-wave1.71-dev libboost1.71-tools-dev libmpfrc++-dev libntl-dev krb5-doc krb5-user icu-doc libjs-jquery-ui-docs liblzma-doc ncurses-doc readline-doc tcl8.6 tk8.6 libtool-doc gcj-jdk m4-doc apparmor less www-browser nodejs libmail-box-perl elpa-ess r-doc-info | r-doc-pdf r-mathlib r-base-html texlive-base texlive-latex-base texlive-plain-generic texlive-fonts-recommended texlive-fonts-extra texlive-extra-utils texlive-latex-recommended texlive-latex-extra texinfo r-cran-knitr r-cran-rmarkdown r-cran-covr r-cran-devtools r-cran-tinytest r-cran-prettycode r-cran-kernsmooth r-cran-kernlab r-cran-mvtnorm r-cran-vcd r-cran-png r-cran-jpeg r-cran-viridis libgdal-dev r-cran-dbi r-cran-dbplyr r-cran-lubridate r-cran-rmysql r-cran-rpostgresql r-cran-broom r-cran-readr r-cran-testthat r-cran-hmisc r-cran-maps r-cran-maptools r-cran-multcomp r-cran-quantreg r-cran-rpart r-cran-sf r-cran-svglite r-cran-forcats r-cran-rsqlite r-cran-r.utils r-cran-ape r-bioc-graph r-cran-rgl r-cran-httr r-cran-getopt r-cran-brms r-cran-rstanarm r-cran-spdep r-cran-rcurl r-cran-doparallel r-cran-foreach r-cran-iterators r-cran-mockr r-cran-plumber r-cran-reticulate r-cran-pkgload r-cran-roxygen2 r-cran-dichromat r-cran-cairo r-cran-v8 r-cran-rcppparallel r-cran-xml2 r-cran-zeallot r-cran-tinytex r-cran-remotes r-cran-plm r-cran-timedate r-cran-chron r-cran-runit Recommended packages: devscripts curl | wget | lynx bzip2-doc libarchive-cpio-perl libglib2.0-data shared-mime-info xdg-user-dirs javascript-common krb5-locales libpng-tools publicsuffix libsasl2-modules libltdl-dev libmail-sendmail-perl r-recommended r-doc-html r-cran-testthat r-cran-vdiffr r-cran-rstanarm r-cran-hexbin r-cran-cliapp r-cran-fastmatch r-cran-data.table r-cran-mockery r-cran-webutils r-cran-rsqlite r-cran-hms r-cran-bit64 r-cran-knitr r-cran-rmarkdown r-cran-sp r-cran-mapproj r-cran-runit r-cran-sodium r-cran-lubridate r-cran-domc r-cran-abind r-cran-codetools r-cran-future r-cran-usethis r-cran-coda r-cran-mockr r-cran-generics r-cran-dbi r-cran-testit r-cran-tseries r-cran-timeseries r-cran-fts libfile-mimeinfo-perl libnet-dbus-perl libx11-protocol-perl x11-utils x11-xserver-utils The following NEW packages will be installed: autoconf automake autopoint autotools-dev bsdmainutils dctrl-tools debhelper dh-autoreconf dh-r dh-strip-nondeterminism dwz file fontconfig fontconfig-config fonts-dejavu-core fonts-font-awesome fonts-glewlwyd fonts-glyphicons-halflings gettext gettext-base gfortran gfortran-9 groff-base icu-devtools intltool-debian libarchive-zip-perl libasn1-8-heimdal libblas-dev libblas3 libboost-dev libboost1.71-dev libbrotli1 libbsd0 libbz2-dev libcairo2 libcroco3 libcurl4 libdatrie1 libdebhelper-perl libelf1 libexpat1 libfile-stripnondeterminism-perl libfile-which-perl libfontconfig1 libfreetype6 libfribidi0 libgfortran-9-dev libgfortran5 libglib2.0-0 libgraphite2-3 libgssapi-krb5-2 libgssapi3-heimdal libharfbuzz0b libhcrypto4-heimdal libheimbase1-heimdal libheimntlm0-heimdal libhx509-5-heimdal libice6 libicu-dev libicu66 libjbig0 libjpeg-dev libjpeg-turbo8 libjpeg-turbo8-dev libjpeg8 libjpeg8-dev libjs-bootstrap libjs-d3 libjs-es5-shim libjs-highlight.js libjs-jquery libjs-jquery-datatables libjs-jquery-datatables-extensions libjs-jquery-selectize.js libjs-jquery-ui libjs-json libjs-microplugin.js libjs-sifter.js libjs-twitter-bootstrap-datepicker libk5crypto3 libkeyutils1 libkrb5-26-heimdal libkrb5-3 libkrb5support0 liblapack-dev liblapack3 libldap-2.4-2 libldap-common liblzma-dev libmagic-mgc libmagic1 libncurses-dev libncurses5-dev libnghttp2-14 libnlopt0 libpango-1.0-0 libpangocairo-1.0-0 libpangoft2-1.0-0 libpaper-utils libpaper1 libpcre16-3 libpcre2-16-0 libpcre2-32-0 libpcre2-dev libpcre2-posix2 libpcre3-dev libpcre32-3 libpcrecpp0v5 libpipeline1 libpixman-1-0 libpng-dev libpsl5 libreadline-dev libroken18-heimdal librtmp1 libsasl2-2 libsasl2-modules-db libsigsegv2 libsm6 libssh-4 libsub-override-perl libswitch-perl libtcl8.6 libthai-data libthai0 libtiff5 libtk8.6 libtool libuchardet0 libuv1 libwebp6 libwind0-heimdal libx11-6 libx11-data libxau6 libxcb-render0 libxcb-shm0 libxcb1 libxdmcp6 libxext6 libxft2 libxml2 libxmuu1 libxrender1 libxss1 libxt6 littler m4 man-db node-html5shiv node-normalize.css pkg-config po-debconf r-base-core r-base-dev r-cran-askpass r-cran-assertthat r-cran-backports r-cran-base64enc r-cran-bayesplot r-cran-bh r-cran-boot r-cran-callr r-cran-checkmate r-cran-cli r-cran-colorspace r-cran-colourpicker r-cran-crayon r-cran-crosstalk r-cran-curl r-cran-desc r-cran-digest r-cran-dplyr r-cran-dt r-cran-dygraphs r-cran-ellipsis r-cran-fansi r-cran-farver r-cran-fastmap r-cran-ggplot2 r-cran-ggridges r-cran-glue r-cran-gridextra r-cran-gtable r-cran-gtools r-cran-htmltools r-cran-htmlwidgets r-cran-httpuv r-cran-igraph r-cran-inline r-cran-jsonlite r-cran-labeling r-cran-later r-cran-lattice r-cran-lazyeval r-cran-lifecycle r-cran-littler r-cran-lme4 r-cran-loo r-cran-magrittr r-cran-markdown r-cran-mass r-cran-matrix r-cran-matrixstats r-cran-mgcv r-cran-mime r-cran-miniui r-cran-minqa r-cran-munsell r-cran-nlme r-cran-nloptr r-cran-openssl r-cran-packrat r-cran-pillar r-cran-pkgbuild r-cran-pkgconfig r-cran-pkgkitten r-cran-plogr r-cran-plyr r-cran-prettyunits r-cran-processx r-cran-promises r-cran-ps r-cran-purrr r-cran-r6 r-cran-rcolorbrewer r-cran-rcpp r-cran-rcppeigen r-cran-reshape2 r-cran-rlang r-cran-rprojroot r-cran-rsconnect r-cran-rstan r-cran-rstantools r-cran-rstudioapi r-cran-scales r-cran-shiny r-cran-shinyjs r-cran-shinystan r-cran-shinythemes r-cran-sourcetools r-cran-stanheaders r-cran-stringi r-cran-stringr r-cran-survival r-cran-sys r-cran-threejs r-cran-tibble r-cran-tidyselect r-cran-utf8 r-cran-vctrs r-cran-viridislite r-cran-withr r-cran-xfun r-cran-xtable r-cran-xts r-cran-yaml r-cran-zoo sbuild-build-depends-r-cran-rstanarm-dummy ucf unzip x11-common xauth xdg-utils zip zlib1g-dev 0 upgraded, 266 newly installed, 0 to remove and 0 not upgraded. Need to get 175 MB of archives. After this operation, 589 MB of additional disk space will be used. Get:1 copy:/<>/resolver-bRnNPH/apt_archive ./ sbuild-build-depends-r-cran-rstanarm-dummy 0.invalid.0 [1004 B] Get:2 http://ftpmaster.internal/ubuntu focal/main amd64 libbsd0 amd64 0.10.0-1 [45.4 kB] Get:3 http://ftpmaster.internal/ubuntu focal/main amd64 bsdmainutils amd64 11.1.2ubuntu3 [181 kB] Get:4 http://ftpmaster.internal/ubuntu focal/main amd64 libuchardet0 amd64 0.0.6-3build1 [65.2 kB] Get:5 http://ftpmaster.internal/ubuntu focal/main amd64 groff-base amd64 1.22.4-4build1 [847 kB] Get:6 http://ftpmaster.internal/ubuntu focal/main amd64 libpipeline1 amd64 1.5.2-2build1 [27.7 kB] Get:7 http://ftpmaster.internal/ubuntu focal/main amd64 man-db amd64 2.9.1-1 [1112 kB] Get:8 http://ftpmaster.internal/ubuntu focal/universe amd64 node-normalize.css all 8.0.1-3 [10.3 kB] Get:9 http://ftpmaster.internal/ubuntu focal/main amd64 libmagic-mgc amd64 1:5.38-4 [218 kB] Get:10 http://ftpmaster.internal/ubuntu focal/main amd64 libmagic1 amd64 1:5.38-4 [75.9 kB] Get:11 http://ftpmaster.internal/ubuntu focal/main amd64 file amd64 1:5.38-4 [23.3 kB] Get:12 http://ftpmaster.internal/ubuntu focal/main amd64 libelf1 amd64 0.176-1.1build1 [44.0 kB] Get:13 http://ftpmaster.internal/ubuntu focal/main amd64 libexpat1 amd64 2.2.9-1build1 [73.3 kB] Get:14 http://ftpmaster.internal/ubuntu focal/main amd64 libfribidi0 amd64 1.0.8-2 [23.8 kB] Get:15 http://ftpmaster.internal/ubuntu focal/main amd64 libglib2.0-0 amd64 2.64.1-1 [1284 kB] Get:16 http://ftpmaster.internal/ubuntu focal/main amd64 libicu66 amd64 66.1-2ubuntu2 [8520 kB] Get:17 http://ftpmaster.internal/ubuntu focal/main amd64 libxml2 amd64 2.9.10+dfsg-4build1 [640 kB] Get:18 http://ftpmaster.internal/ubuntu focal/main amd64 ucf all 3.0038+nmu1 [51.6 kB] Get:19 http://ftpmaster.internal/ubuntu focal/main amd64 gettext-base amd64 0.19.8.1-10build1 [50.2 kB] Get:20 http://ftpmaster.internal/ubuntu focal/main amd64 libkrb5support0 amd64 1.17-6ubuntu4 [30.9 kB] Get:21 http://ftpmaster.internal/ubuntu focal/main amd64 libk5crypto3 amd64 1.17-6ubuntu4 [80.2 kB] Get:22 http://ftpmaster.internal/ubuntu focal/main amd64 libkeyutils1 amd64 1.6-6ubuntu1 [10.2 kB] Get:23 http://ftpmaster.internal/ubuntu focal/main amd64 libkrb5-3 amd64 1.17-6ubuntu4 [330 kB] Get:24 http://ftpmaster.internal/ubuntu focal/main amd64 libgssapi-krb5-2 amd64 1.17-6ubuntu4 [121 kB] Get:25 http://ftpmaster.internal/ubuntu focal/main amd64 libpsl5 amd64 0.21.0-1ubuntu1 [51.5 kB] Get:26 http://ftpmaster.internal/ubuntu focal/main amd64 libxau6 amd64 1:1.0.9-0ubuntu1 [7488 B] Get:27 http://ftpmaster.internal/ubuntu focal/main amd64 libxdmcp6 amd64 1:1.1.3-0ubuntu1 [10.6 kB] Get:28 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb1 amd64 1.14-2 [44.7 kB] Get:29 http://ftpmaster.internal/ubuntu focal/main amd64 libx11-data all 2:1.6.9-2ubuntu1 [113 kB] Get:30 http://ftpmaster.internal/ubuntu focal/main amd64 libx11-6 amd64 2:1.6.9-2ubuntu1 [573 kB] Get:31 http://ftpmaster.internal/ubuntu focal/main amd64 libxext6 amd64 2:1.3.4-0ubuntu1 [29.1 kB] Get:32 http://ftpmaster.internal/ubuntu focal/main amd64 libxmuu1 amd64 2:1.1.3-0ubuntu1 [9728 B] Get:33 http://ftpmaster.internal/ubuntu focal/main amd64 xauth amd64 1:1.1-0ubuntu1 [25.0 kB] Get:34 http://ftpmaster.internal/ubuntu focal/main amd64 libsigsegv2 amd64 2.12-2 [13.9 kB] Get:35 http://ftpmaster.internal/ubuntu focal/main amd64 m4 amd64 1.4.18-4 [199 kB] Get:36 http://ftpmaster.internal/ubuntu focal/main amd64 autoconf all 2.69-11.1 [321 kB] Get:37 http://ftpmaster.internal/ubuntu focal/main amd64 autotools-dev all 20180224.1 [39.6 kB] Get:38 http://ftpmaster.internal/ubuntu focal/main amd64 automake all 1:1.16.1-4ubuntu6 [522 kB] Get:39 http://ftpmaster.internal/ubuntu focal/main amd64 autopoint all 0.19.8.1-10build1 [412 kB] Get:40 http://ftpmaster.internal/ubuntu focal/main amd64 dctrl-tools amd64 2.24-3 [61.5 kB] Get:41 http://ftpmaster.internal/ubuntu focal/main amd64 libtool all 2.4.6-14 [161 kB] Get:42 http://ftpmaster.internal/ubuntu focal/main amd64 dh-autoreconf all 19 [16.1 kB] Get:43 http://ftpmaster.internal/ubuntu focal/main amd64 libdebhelper-perl all 12.9ubuntu1 [62.0 kB] Get:44 http://ftpmaster.internal/ubuntu focal/main amd64 libarchive-zip-perl all 1.67-2 [90.5 kB] Get:45 http://ftpmaster.internal/ubuntu focal/main amd64 libsub-override-perl all 0.09-2 [9532 B] Get:46 http://ftpmaster.internal/ubuntu focal/main amd64 libfile-stripnondeterminism-perl all 1.6.3-2 [16.0 kB] Get:47 http://ftpmaster.internal/ubuntu focal/main amd64 dh-strip-nondeterminism all 1.6.3-2 [5228 B] Get:48 http://ftpmaster.internal/ubuntu focal/main amd64 dwz amd64 0.13-5 [151 kB] Get:49 http://ftpmaster.internal/ubuntu focal/main amd64 libcroco3 amd64 0.6.13-1 [82.5 kB] Get:50 http://ftpmaster.internal/ubuntu focal/main amd64 gettext amd64 0.19.8.1-10build1 [895 kB] Get:51 http://ftpmaster.internal/ubuntu focal/main amd64 intltool-debian all 0.35.0+20060710.5 [24.9 kB] Get:52 http://ftpmaster.internal/ubuntu focal/main amd64 po-debconf all 1.0.21 [233 kB] Get:53 http://ftpmaster.internal/ubuntu focal/main amd64 debhelper all 12.9ubuntu1 [869 kB] Get:54 http://ftpmaster.internal/ubuntu focal/main amd64 zip amd64 3.0-11build1 [167 kB] Get:55 http://ftpmaster.internal/ubuntu focal/main amd64 unzip amd64 6.0-25ubuntu1 [169 kB] Get:56 http://ftpmaster.internal/ubuntu focal/main amd64 libpaper1 amd64 1.1.28 [13.0 kB] Get:57 http://ftpmaster.internal/ubuntu focal/main amd64 libpaper-utils amd64 1.1.28 [8400 B] Get:58 http://ftpmaster.internal/ubuntu focal/main amd64 xdg-utils all 1.1.3-2ubuntu1 [61.6 kB] Get:59 http://ftpmaster.internal/ubuntu focal/main amd64 libblas3 amd64 3.9.0-1build1 [142 kB] Get:60 http://ftpmaster.internal/ubuntu focal/main amd64 libfreetype6 amd64 2.10.1-2 [341 kB] Get:61 http://ftpmaster.internal/ubuntu focal/main amd64 fonts-dejavu-core all 2.37-1 [1041 kB] Get:62 http://ftpmaster.internal/ubuntu focal/main amd64 fontconfig-config all 2.13.1-2ubuntu2 [28.9 kB] Get:63 http://ftpmaster.internal/ubuntu focal/main amd64 libfontconfig1 amd64 2.13.1-2ubuntu2 [114 kB] Get:64 http://ftpmaster.internal/ubuntu focal/main amd64 libpixman-1-0 amd64 0.38.4-0ubuntu1 [227 kB] Get:65 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-render0 amd64 1.14-2 [14.8 kB] Get:66 http://ftpmaster.internal/ubuntu focal/main amd64 libxcb-shm0 amd64 1.14-2 [5584 B] Get:67 http://ftpmaster.internal/ubuntu focal/main amd64 libxrender1 amd64 1:0.9.10-1 [18.7 kB] Get:68 http://ftpmaster.internal/ubuntu focal/main amd64 libcairo2 amd64 1.16.0-4ubuntu1 [583 kB] Get:69 http://ftpmaster.internal/ubuntu focal/main amd64 libbrotli1 amd64 1.0.7-6build1 [270 kB] Get:70 http://ftpmaster.internal/ubuntu focal/main amd64 libroken18-heimdal amd64 7.7.0+dfsg-1ubuntu1 [41.8 kB] Get:71 http://ftpmaster.internal/ubuntu focal/main amd64 libasn1-8-heimdal amd64 7.7.0+dfsg-1ubuntu1 [181 kB] Get:72 http://ftpmaster.internal/ubuntu focal/main amd64 libheimbase1-heimdal amd64 7.7.0+dfsg-1ubuntu1 [29.7 kB] Get:73 http://ftpmaster.internal/ubuntu focal/main amd64 libhcrypto4-heimdal amd64 7.7.0+dfsg-1ubuntu1 [87.9 kB] Get:74 http://ftpmaster.internal/ubuntu focal/main amd64 libwind0-heimdal amd64 7.7.0+dfsg-1ubuntu1 [48.0 kB] Get:75 http://ftpmaster.internal/ubuntu focal/main amd64 libhx509-5-heimdal amd64 7.7.0+dfsg-1ubuntu1 [107 kB] Get:76 http://ftpmaster.internal/ubuntu focal/main amd64 libkrb5-26-heimdal amd64 7.7.0+dfsg-1ubuntu1 [208 kB] Get:77 http://ftpmaster.internal/ubuntu focal/main amd64 libheimntlm0-heimdal amd64 7.7.0+dfsg-1ubuntu1 [15.1 kB] Get:78 http://ftpmaster.internal/ubuntu focal/main amd64 libgssapi3-heimdal amd64 7.7.0+dfsg-1ubuntu1 [96.1 kB] Get:79 http://ftpmaster.internal/ubuntu focal/main amd64 libsasl2-modules-db amd64 2.1.27+dfsg-2 [14.9 kB] Get:80 http://ftpmaster.internal/ubuntu focal/main amd64 libsasl2-2 amd64 2.1.27+dfsg-2 [49.3 kB] Get:81 http://ftpmaster.internal/ubuntu focal/main amd64 libldap-common all 2.4.49+dfsg-2ubuntu1 [17.3 kB] Get:82 http://ftpmaster.internal/ubuntu focal/main amd64 libldap-2.4-2 amd64 2.4.49+dfsg-2ubuntu1 [156 kB] Get:83 http://ftpmaster.internal/ubuntu focal/main amd64 libnghttp2-14 amd64 1.40.0-1build1 [78.7 kB] Get:84 http://ftpmaster.internal/ubuntu focal/main amd64 librtmp1 amd64 2.4+20151223.gitfa8646d.1-2build1 [54.9 kB] Get:85 http://ftpmaster.internal/ubuntu focal/main amd64 libssh-4 amd64 0.9.3-2ubuntu1 [170 kB] Get:86 http://ftpmaster.internal/ubuntu focal/main amd64 libcurl4 amd64 7.68.0-1ubuntu1 [233 kB] Get:87 http://ftpmaster.internal/ubuntu focal/main amd64 libjpeg-turbo8 amd64 2.0.3-0ubuntu1 [118 kB] Get:88 http://ftpmaster.internal/ubuntu focal/main amd64 libjpeg8 amd64 8c-2ubuntu8 [2194 B] Get:89 http://ftpmaster.internal/ubuntu focal/main amd64 libgfortran5 amd64 10-20200324-1ubuntu1 [728 kB] Get:90 http://ftpmaster.internal/ubuntu focal/main amd64 liblapack3 amd64 3.9.0-1build1 [2154 kB] Get:91 http://ftpmaster.internal/ubuntu focal/main amd64 fontconfig amd64 2.13.1-2ubuntu2 [171 kB] Get:92 http://ftpmaster.internal/ubuntu focal/main amd64 libgraphite2-3 amd64 1.3.13-11build1 [73.5 kB] Get:93 http://ftpmaster.internal/ubuntu focal/main amd64 libharfbuzz0b amd64 2.6.4-1ubuntu4 [391 kB] Get:94 http://ftpmaster.internal/ubuntu focal/main amd64 libthai-data all 0.1.28-3 [134 kB] Get:95 http://ftpmaster.internal/ubuntu focal/main amd64 libdatrie1 amd64 0.2.12-3 [18.7 kB] Get:96 http://ftpmaster.internal/ubuntu focal/main amd64 libthai0 amd64 0.1.28-3 [18.1 kB] Get:97 http://ftpmaster.internal/ubuntu focal/main amd64 libpango-1.0-0 amd64 1.44.7-2ubuntu2 [162 kB] Get:98 http://ftpmaster.internal/ubuntu focal/main amd64 libpangoft2-1.0-0 amd64 1.44.7-2ubuntu2 [34.9 kB] Get:99 http://ftpmaster.internal/ubuntu focal/main amd64 libpangocairo-1.0-0 amd64 1.44.7-2ubuntu2 [24.9 kB] Get:100 http://ftpmaster.internal/ubuntu focal/main amd64 libtcl8.6 amd64 8.6.10+dfsg-1 [902 kB] Get:101 http://ftpmaster.internal/ubuntu focal/main amd64 libjbig0 amd64 2.1-3.1build1 [26.7 kB] Get:102 http://ftpmaster.internal/ubuntu focal/main amd64 libwebp6 amd64 0.6.1-2 [185 kB] Get:103 http://ftpmaster.internal/ubuntu focal/main amd64 libtiff5 amd64 4.1.0+git191117-2build1 [161 kB] Get:104 http://ftpmaster.internal/ubuntu focal/main amd64 libxft2 amd64 2.3.3-0ubuntu1 [39.2 kB] Get:105 http://ftpmaster.internal/ubuntu focal/main amd64 x11-common all 1:7.7+19ubuntu14 [22.3 kB] Get:106 http://ftpmaster.internal/ubuntu focal/main amd64 libxss1 amd64 1:1.2.3-1 [8140 B] Get:107 http://ftpmaster.internal/ubuntu focal/main amd64 libtk8.6 amd64 8.6.10-1 [714 kB] Get:108 http://ftpmaster.internal/ubuntu focal/main amd64 libice6 amd64 2:1.0.10-0ubuntu1 [41.0 kB] Get:109 http://ftpmaster.internal/ubuntu focal/main amd64 libsm6 amd64 2:1.2.3-1 [16.1 kB] Get:110 http://ftpmaster.internal/ubuntu focal/main amd64 libxt6 amd64 1:1.1.5-1 [160 kB] Get:111 http://ftpmaster.internal/ubuntu focal/universe amd64 r-base-core amd64 3.6.3-2 [24.5 MB] Get:112 http://ftpmaster.internal/ubuntu focal/main amd64 libgfortran-9-dev amd64 9.3.0-10ubuntu1 [684 kB] Get:113 http://ftpmaster.internal/ubuntu focal/main amd64 gfortran-9 amd64 9.3.0-10ubuntu1 [7912 kB] Get:114 http://ftpmaster.internal/ubuntu focal/main amd64 gfortran amd64 4:9.3.0-1ubuntu2 [1372 B] Get:115 http://ftpmaster.internal/ubuntu focal/main amd64 libblas-dev amd64 3.9.0-1build1 [147 kB] Get:116 http://ftpmaster.internal/ubuntu focal/main amd64 liblapack-dev amd64 3.9.0-1build1 [4242 kB] Get:117 http://ftpmaster.internal/ubuntu focal/main amd64 libncurses-dev amd64 6.2-0ubuntu2 [339 kB] Get:118 http://ftpmaster.internal/ubuntu focal/main amd64 libncurses5-dev amd64 6.2-0ubuntu2 [976 B] Get:119 http://ftpmaster.internal/ubuntu focal/main amd64 libreadline-dev amd64 8.0-4 [141 kB] Get:120 http://ftpmaster.internal/ubuntu focal/main amd64 libjpeg-turbo8-dev amd64 2.0.3-0ubuntu1 [238 kB] Get:121 http://ftpmaster.internal/ubuntu focal/main amd64 libjpeg8-dev amd64 8c-2ubuntu8 [1552 B] Get:122 http://ftpmaster.internal/ubuntu focal/main amd64 libjpeg-dev amd64 8c-2ubuntu8 [1546 B] Get:123 http://ftpmaster.internal/ubuntu focal/main amd64 libpcre2-16-0 amd64 10.34-7 [181 kB] Get:124 http://ftpmaster.internal/ubuntu focal/main amd64 libpcre2-32-0 amd64 10.34-7 [169 kB] Get:125 http://ftpmaster.internal/ubuntu focal/main amd64 libpcre2-posix2 amd64 10.34-7 [5992 B] Get:126 http://ftpmaster.internal/ubuntu focal/main amd64 libpcre2-dev amd64 10.34-7 [670 kB] Get:127 http://ftpmaster.internal/ubuntu focal/main amd64 libpcre16-3 amd64 2:8.39-12build1 [150 kB] Get:128 http://ftpmaster.internal/ubuntu focal/main amd64 libpcre32-3 amd64 2:8.39-12build1 [140 kB] Get:129 http://ftpmaster.internal/ubuntu focal/main amd64 libpcrecpp0v5 amd64 2:8.39-12build1 [15.5 kB] Get:130 http://ftpmaster.internal/ubuntu focal/main amd64 libpcre3-dev amd64 2:8.39-12build1 [540 kB] Get:131 http://ftpmaster.internal/ubuntu focal/main amd64 zlib1g-dev amd64 1:1.2.11.dfsg-2ubuntu1 [156 kB] Get:132 http://ftpmaster.internal/ubuntu focal/main amd64 libpng-dev amd64 1.6.37-2 [175 kB] Get:133 http://ftpmaster.internal/ubuntu focal/main amd64 libbz2-dev amd64 1.0.8-2 [30.2 kB] Get:134 http://ftpmaster.internal/ubuntu focal/main amd64 liblzma-dev amd64 5.2.4-1 [145 kB] Get:135 http://ftpmaster.internal/ubuntu focal/main amd64 icu-devtools amd64 66.1-2ubuntu2 [188 kB] Get:136 http://ftpmaster.internal/ubuntu focal/main amd64 libicu-dev amd64 66.1-2ubuntu2 [9450 kB] Get:137 http://ftpmaster.internal/ubuntu focal/main amd64 pkg-config amd64 0.29.1-0ubuntu4 [45.5 kB] Get:138 http://ftpmaster.internal/ubuntu focal/universe amd64 r-base-dev all 3.6.3-2 [4524 B] Get:139 http://ftpmaster.internal/ubuntu focal/main amd64 libfile-which-perl all 1.23-1 [13.8 kB] Get:140 http://ftpmaster.internal/ubuntu focal/universe amd64 libswitch-perl all 2.17-2 [18.8 kB] Get:141 http://ftpmaster.internal/ubuntu focal/universe amd64 dh-r all 20200104 [34.7 kB] Get:142 http://ftpmaster.internal/ubuntu focal/main amd64 fonts-font-awesome all 5.0.10+really4.7.0~dfsg-1 [514 kB] Get:143 http://ftpmaster.internal/ubuntu focal/universe amd64 fonts-glewlwyd all 1.4.9-3 [401 kB] Get:144 http://ftpmaster.internal/ubuntu focal/universe amd64 fonts-glyphicons-halflings all 1.009~3.4.1+dfsg-1 [117 kB] Get:145 http://ftpmaster.internal/ubuntu focal/main amd64 libboost1.71-dev amd64 1.71.0-6ubuntu6 [9068 kB] Get:146 http://ftpmaster.internal/ubuntu focal/main amd64 libboost-dev amd64 1.71.0.0ubuntu1 [3600 B] Get:147 http://ftpmaster.internal/ubuntu focal/universe amd64 libjs-bootstrap all 3.4.1+dfsg-1 [124 kB] Get:148 http://ftpmaster.internal/ubuntu focal/universe amd64 libjs-d3 all 3.5.17-2 [131 kB] Get:149 http://ftpmaster.internal/ubuntu focal/universe amd64 libjs-es5-shim all 4.5.13-2 [35.7 kB] Get:150 http://ftpmaster.internal/ubuntu focal/universe amd64 libjs-highlight.js all 9.12.0+dfsg1-5 [277 kB] Get:151 http://ftpmaster.internal/ubuntu focal/main amd64 libjs-jquery all 3.3.1~dfsg-3 [329 kB] Get:152 http://ftpmaster.internal/ubuntu focal/universe amd64 libjs-jquery-datatables all 1.10.20+dfsg-1 [136 kB] Get:153 http://ftpmaster.internal/ubuntu focal/universe amd64 libjs-jquery-datatables-extensions all 0.0+git20150910.28fd64e+dfsg-1 [351 kB] Get:154 http://ftpmaster.internal/ubuntu focal/universe amd64 libjs-sifter.js all 0.6.0+dfsg-1 [12.2 kB] Get:155 http://ftpmaster.internal/ubuntu focal/universe amd64 libjs-microplugin.js all 0.0.3+dfsg-1 [3466 B] Get:156 http://ftpmaster.internal/ubuntu focal/universe amd64 libjs-jquery-selectize.js all 0.12.6+dfsg-1 [50.8 kB] Get:157 http://ftpmaster.internal/ubuntu focal/universe amd64 libjs-jquery-ui all 1.12.1+dfsg-5 [232 kB] Get:158 http://ftpmaster.internal/ubuntu focal/universe amd64 libjs-json all 0~20190826-1 [18.7 kB] Get:159 http://ftpmaster.internal/ubuntu focal/main amd64 libuv1 amd64 1.34.2-1ubuntu1 [80.4 kB] Get:160 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-littler amd64 0.3.9-1 [300 kB] Get:161 http://ftpmaster.internal/ubuntu focal/universe amd64 littler all 0.3.9-1 [2420 B] Get:162 http://ftpmaster.internal/ubuntu focal/universe amd64 node-html5shiv all 3.7.3+dfsg-3 [12.9 kB] Get:163 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-sys amd64 3.3-1 [43.4 kB] Get:164 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-askpass amd64 1.1-1 [22.0 kB] Get:165 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-assertthat all 0.2.1-1 [56.7 kB] Get:166 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-backports amd64 1.1.5-1 [58.2 kB] Get:167 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-base64enc amd64 0.1-3-2 [27.4 kB] Get:168 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-rlang amd64 0.4.4-1 [1114 kB] Get:169 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-ellipsis amd64 0.3.0-1 [30.6 kB] Get:170 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-glue amd64 1.3.1-1 [152 kB] Get:171 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-magrittr all 1.5-5 [152 kB] Get:172 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-pkgconfig all 2.0.3-1 [19.7 kB] Get:173 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-r6 all 2.4.1-1 [79.4 kB] Get:174 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-pkgkitten all 0.1.5-1 [22.6 kB] Get:175 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-rcpp amd64 1.0.3-1build1 [1864 kB] Get:176 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-crayon all 1.3.4-4ubuntu1 [499 kB] Get:177 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-fansi amd64 0.4.1-1 [346 kB] Get:178 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-cli all 2.0.1-1 [386 kB] Get:179 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-utf8 amd64 1.1.4-1build1 [130 kB] Get:180 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-digest amd64 0.6.25-1 [170 kB] Get:181 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-vctrs amd64 0.2.3-1 [823 kB] Get:182 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-pillar all 1.4.3-1 [227 kB] Get:183 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-tibble amd64 2.1.3-2 [324 kB] Get:184 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-purrr amd64 0.3.3-1 [394 kB] Get:185 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-tidyselect amd64 1.0.0+dfsg-1 [165 kB] Get:186 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-bh all 1.66.0-1 [5116 B] Get:187 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-plogr all 0.2.0-2 [14.7 kB] Get:188 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-dplyr amd64 0.8.4-1 [1877 kB] Get:189 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-gtable all 0.3.0+dfsg-1 [138 kB] Get:190 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-lazyeval amd64 0.2.2-1 [144 kB] Get:191 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-mass amd64 7.3-51.5-2 [1114 kB] Get:192 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-lattice amd64 0.20-40-1 [1125 kB] Get:193 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-nlme amd64 3.1.144-1 [2220 kB] Get:194 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-matrix amd64 1.2-18-1 [3448 kB] Get:195 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-mgcv amd64 1.8-31-1 [2725 kB] Get:196 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-plyr amd64 1.8.5-1 [822 kB] Get:197 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-stringi amd64 1.4.6-1build1 [713 kB] Get:198 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-stringr all 1.4.0-1 [192 kB] Get:199 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-reshape2 amd64 1.4.3-2build1 [111 kB] Get:200 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-farver amd64 2.0.3-1build1 [1338 kB] Get:201 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-labeling all 0.3-3 [61.5 kB] Get:202 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-colorspace amd64 1.4-1+dfsg-1 [1437 kB] Get:203 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-munsell all 0.5.0-1 [206 kB] Get:204 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-rcolorbrewer all 1.1-2-2 [54.4 kB] Get:205 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-viridislite all 0.3.0-3 [58.9 kB] Get:206 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-lifecycle all 0.1.0-2 [76.7 kB] Get:207 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-scales all 1.1.0-1 [482 kB] Get:208 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-withr all 2.1.2-3 [153 kB] Get:209 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-ggplot2 all 3.2.1+dfsg-2 [2825 kB] Get:210 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http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-xts amd64 0.12-0-1 [881 kB] Get:240 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-dygraphs all 1.1.1.6+dfsg-1 [292 kB] Get:241 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-gridextra all 2.3-2 [1023 kB] Get:242 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-gtools amd64 3.8.1-1 [310 kB] Get:243 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-igraph amd64 1.2.4.2-2build1 [3493 kB] Get:244 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-inline all 0.3.15-2 [123 kB] Get:245 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-minqa amd64 1.2.4-1build3 [108 kB] Get:246 http://ftpmaster.internal/ubuntu focal/universe amd64 libnlopt0 amd64 2.6.1-8ubuntu2 [167 kB] Get:247 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-nloptr amd64 1.2.1-1 [277 kB] Get:248 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-rcppeigen amd64 0.3.3.7.0-1build1 [1354 kB] Get:249 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-lme4 amd64 1.1-21-2build1 [4869 kB] Get:250 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-matrixstats amd64 0.55.0-1 [653 kB] Get:251 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-loo all 2.2.0-1 [2743 kB] Get:252 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-xfun all 0.12-1 [178 kB] Get:253 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-markdown amd64 1.1+dfsg-1 [125 kB] Get:254 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-openssl amd64 1.4.1+dfsg-2ubuntu1 [372 kB] Get:255 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-packrat all 0.5.0-2 [465 kB] Get:256 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-prettyunits all 1.1.1-1 [39.6 kB] Get:257 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-pkgbuild all 1.0.6-1 [140 kB] Get:258 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-rstudioapi all 0.11-1 [245 kB] Get:259 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-rsconnect all 0.8.16-1 [651 kB] Get:260 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-stanheaders amd64 2.21.0-1-1 [797 kB] Get:261 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-rstan amd64 2.19.2-1build1 [2014 kB] Get:262 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-rstantools all 2.0.0-1 [151 kB] Get:263 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-shinythemes all 1.1.2+dfsg-1 [428 kB] Get:264 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-threejs all 0.3.3+dfsg-1 [881 kB] Get:265 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-shinystan all 2.5.0-2 [2419 kB] Get:266 http://ftpmaster.internal/ubuntu focal/universe amd64 r-cran-survival amd64 3.1-8-1 [7388 kB] debconf: delaying package configuration, since apt-utils is not installed Fetched 175 MB in 3s (52.4 MB/s) Selecting previously 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Setting up libtcl8.6:amd64 (8.6.10+dfsg-1) ... Setting up autopoint (0.19.8.1-10build1) ... Setting up libwebp6:amd64 (0.6.1-2) ... Setting up icu-devtools (66.1-2ubuntu2) ... Setting up pkg-config (0.29.1-0ubuntu4) ... Setting up fonts-dejavu-core (2.37-1) ... Setting up ucf (3.0038+nmu1) ... Setting up libpcre2-posix2:amd64 (10.34-7) ... Setting up libk5crypto3:amd64 (1.17-6ubuntu4) ... Setting up libjpeg-turbo8:amd64 (2.0.3-0ubuntu1) ... Setting up libsasl2-2:amd64 (2.1.27+dfsg-2) ... Setting up libgfortran5:amd64 (10-20200324-1ubuntu1) ... Setting up libroken18-heimdal:amd64 (7.7.0+dfsg-1ubuntu1) ... Setting up liblzma-dev:amd64 (5.2.4-1) ... Setting up zlib1g-dev:amd64 (1:1.2.11.dfsg-2ubuntu1) ... Setting up libjs-highlight.js (9.12.0+dfsg1-5) ... Setting up libuchardet0:amd64 (0.0.6-3build1) ... Setting up libncurses5-dev:amd64 (6.2-0ubuntu2) ... Setting up libsub-override-perl (0.09-2) ... Setting up libharfbuzz0b:amd64 (2.6.4-1ubuntu4) ... Setting up libthai-data (0.1.28-3) ... Setting up libkrb5-3:amd64 (1.17-6ubuntu4) ... Setting up libboost-dev:amd64 (1.71.0.0ubuntu1) ... Setting up libjs-jquery (3.3.1~dfsg-3) ... Setting up libbsd0:amd64 (0.10.0-1) ... Setting up node-normalize.css (8.0.1-3) ... Setting up libelf1:amd64 (0.176-1.1build1) ... Setting up libicu-dev:amd64 (66.1-2ubuntu2) ... Setting up libxml2:amd64 (2.9.10+dfsg-4build1) ... Setting up fonts-font-awesome (5.0.10+really4.7.0~dfsg-1) ... Setting up xdg-utils (1.1.3-2ubuntu1) ... Setting up libblas-dev:amd64 (3.9.0-1build1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/blas/libblas.so to provide /usr/lib/x86_64-linux-gnu/libblas.so (libblas.so-x86_64-linux-gnu) in auto mode Setting up dctrl-tools (2.24-3) ... Setting up libjs-bootstrap (3.4.1+dfsg-1) ... Setting up libheimbase1-heimdal:amd64 (7.7.0+dfsg-1ubuntu1) ... Setting up libbz2-dev:amd64 (1.0.8-2) ... Setting up libjs-jquery-selectize.js (0.12.6+dfsg-1) ... Setting up libjs-jquery-datatables-extensions (0.0+git20150910.28fd64e+dfsg-1) ... Setting up libjpeg8:amd64 (8c-2ubuntu8) ... Setting up libfile-stripnondeterminism-perl (1.6.3-2) ... Setting up r-cran-bh (1.66.0-1) ... Setting up libpaper1:amd64 (1.1.28) ... Creating config file /etc/papersize with new version Setting up libice6:amd64 (2:1.0.10-0ubuntu1) ... Setting up libjpeg-turbo8-dev:amd64 (2.0.3-0ubuntu1) ... Setting up libxdmcp6:amd64 (1:1.1.3-0ubuntu1) ... Setting up liblapack3:amd64 (3.9.0-1build1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so.3 to provide /usr/lib/x86_64-linux-gnu/liblapack.so.3 (liblapack.so.3-x86_64-linux-gnu) in auto mode Setting up libxcb1:amd64 (1.14-2) ... Setting up libpcre2-dev:amd64 (10.34-7) ... Setting up libtool (2.4.6-14) ... Setting up libxcb-render0:amd64 (1.14-2) ... Setting up libpcre3-dev:amd64 (2:8.39-12build1) ... Setting up fontconfig-config (2.13.1-2ubuntu2) ... Setting up libasn1-8-heimdal:amd64 (7.7.0+dfsg-1ubuntu1) ... Setting up libjs-twitter-bootstrap-datepicker (1.3.1+dfsg1-4) ... Setting up libpng-dev:amd64 (1.6.37-2) ... Setting up libgfortran-9-dev:amd64 (9.3.0-10ubuntu1) ... Setting up m4 (1.4.18-4) ... Setting up libxcb-shm0:amd64 (1.14-2) ... Setting up fonts-glewlwyd (1.4.9-3) ... Setting up libpaper-utils (1.1.28) ... Setting up libhcrypto4-heimdal:amd64 (7.7.0+dfsg-1ubuntu1) ... Setting up libjs-jquery-datatables (1.10.20+dfsg-1) ... Setting up libthai0:amd64 (0.1.28-3) ... Setting up libwind0-heimdal:amd64 (7.7.0+dfsg-1ubuntu1) ... Setting up libjs-jquery-ui (1.12.1+dfsg-5) ... Setting up bsdmainutils (11.1.2ubuntu3) ... update-alternatives: using /usr/bin/bsd-write to provide /usr/bin/write (write) in auto mode update-alternatives: using /usr/bin/bsd-from to provide /usr/bin/from (from) in auto mode Setting up liblapack-dev:amd64 (3.9.0-1build1) ... update-alternatives: using /usr/lib/x86_64-linux-gnu/lapack/liblapack.so to provide /usr/lib/x86_64-linux-gnu/liblapack.so (liblapack.so-x86_64-linux-gnu) in auto mode Setting up libgssapi-krb5-2:amd64 (1.17-6ubuntu4) ... Setting up libcroco3:amd64 (0.6.13-1) ... Setting up libssh-4:amd64 (0.9.3-2ubuntu1) ... Setting up autoconf (2.69-11.1) ... Setting up dh-strip-nondeterminism (1.6.3-2) ... Setting up dwz (0.13-5) ... Setting up groff-base (1.22.4-4build1) ... Setting up libx11-6:amd64 (2:1.6.9-2ubuntu1) ... Setting up libtiff5:amd64 (4.1.0+git191117-2build1) ... Setting up libfontconfig1:amd64 (2.13.1-2ubuntu2) ... Setting up libjpeg8-dev:amd64 (8c-2ubuntu8) ... Setting up libsm6:amd64 (2:1.2.3-1) ... Setting up libxmuu1:amd64 (2:1.1.3-0ubuntu1) ... Setting up automake (1:1.16.1-4ubuntu6) ... update-alternatives: using /usr/bin/automake-1.16 to provide /usr/bin/automake (automake) in auto mode Setting up fontconfig (2.13.1-2ubuntu2) ... Regenerating fonts cache... done. Setting up gettext (0.19.8.1-10build1) ... Setting up libxrender1:amd64 (1:0.9.10-1) ... Setting up gfortran-9 (9.3.0-10ubuntu1) ... Setting up libhx509-5-heimdal:amd64 (7.7.0+dfsg-1ubuntu1) ... Setting up libpango-1.0-0:amd64 (1.44.7-2ubuntu2) ... Setting up libjpeg-dev:amd64 (8c-2ubuntu8) ... Setting up libxext6:amd64 (2:1.3.4-0ubuntu1) ... Setting up man-db (2.9.1-1) ... Not building database; man-db/auto-update is not 'true'. Created symlink /etc/systemd/system/timers.target.wants/man-db.timer → /lib/systemd/system/man-db.timer. Setting up gfortran (4:9.3.0-1ubuntu2) ... update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f95 (f95) in auto mode update-alternatives: using /usr/bin/gfortran to provide /usr/bin/f77 (f77) in auto mode Setting up libcairo2:amd64 (1.16.0-4ubuntu1) ... Setting up intltool-debian (0.35.0+20060710.5) ... Setting up libxt6:amd64 (1:1.1.5-1) ... Setting up xauth (1:1.1-0ubuntu1) ... Setting up libxss1:amd64 (1:1.2.3-1) ... Setting up libpangoft2-1.0-0:amd64 (1.44.7-2ubuntu2) ... Setting up libpangocairo-1.0-0:amd64 (1.44.7-2ubuntu2) ... Setting up libkrb5-26-heimdal:amd64 (7.7.0+dfsg-1ubuntu1) ... Setting up libxft2:amd64 (2.3.3-0ubuntu1) ... Setting up po-debconf (1.0.21) ... Setting up libtk8.6:amd64 (8.6.10-1) ... Setting up libheimntlm0-heimdal:amd64 (7.7.0+dfsg-1ubuntu1) ... Setting up libgssapi3-heimdal:amd64 (7.7.0+dfsg-1ubuntu1) ... Setting up libldap-2.4-2:amd64 (2.4.49+dfsg-2ubuntu1) ... Setting up libcurl4:amd64 (7.68.0-1ubuntu1) ... Setting up r-base-core (3.6.3-2) ... Creating config file /etc/R/Renviron with new version Setting up r-cran-crayon (1.3.4-4ubuntu1) ... Setting up r-cran-gtable (0.3.0+dfsg-1) ... Setting up r-cran-labeling (0.3-3) ... Setting up r-cran-sourcetools (0.1.7-2build1) ... Setting up r-cran-lattice (0.20-40-1) ... Setting up r-cran-ps (1.3.2-2) ... Setting up r-cran-nlme (3.1.144-1) ... Setting up r-cran-farver (2.0.3-1build1) ... Setting up r-cran-viridislite (0.3.0-3) ... Setting up r-cran-lazyeval (0.2.2-1) ... Setting up r-cran-r6 (2.4.1-1) ... Setting up r-cran-pkgkitten (0.1.5-1) ... Setting up r-cran-magrittr (1.5-5) ... Setting up r-cran-littler (0.3.9-1) ... Setting up r-cran-rcpp (1.0.3-1build1) ... Setting up r-cran-curl (4.3+dfsg-1) ... Setting up r-cran-nloptr (1.2.1-1) ... Setting up r-cran-boot (1.3-24-2) ... Setting up r-cran-inline (0.3.15-2) ... Setting up r-cran-rlang (0.4.4-1) ... Setting up r-cran-matrixstats (0.55.0-1) ... Setting up r-base-dev (3.6.3-2) ... Setting up r-cran-assertthat (0.2.1-1) ... Setting up littler (0.3.9-1) ... Setting up r-cran-xfun (0.12-1) ... Setting up r-cran-sys (3.3-1) ... Setting up r-cran-plogr (0.2.0-2) ... Setting up r-cran-withr (2.1.2-3) ... Setting up r-cran-backports (1.1.5-1) ... Setting up r-cran-processx (3.4.2-1) ... Setting up r-cran-mime (0.9-1) ... Setting up r-cran-base64enc (0.1-3-2) ... Setting up r-cran-digest (0.6.25-1) ... Setting up r-cran-yaml (2.2.1-1) ... Setting up r-cran-prettyunits (1.1.1-1) ... Setting up r-cran-fansi (0.4.1-1) ... Setting up r-cran-mass (7.3-51.5-2) ... Setting up r-cran-checkmate (2.0.0-1) ... Setting up r-cran-packrat (0.5.0-2) ... Setting up r-cran-gtools (3.8.1-1) ... Setting up r-cran-glue (1.3.1-1) ... Setting up r-cran-xtable (1:1.8-4-1) ... Setting up r-cran-cli (2.0.1-1) ... Setting up r-cran-lifecycle (0.1.0-2) ... Setting up r-cran-rprojroot (1.3-2-2) ... Setting up r-cran-askpass (1.1-1) ... Setting up r-cran-fastmap (1.0.1-2build1) ... Setting up r-cran-jsonlite (1.6.1+dfsg-1) ... Setting up r-cran-rstudioapi (0.11-1) ... Setting up r-cran-pkgconfig (2.0.3-1) ... Setting up r-cran-utf8 (1.1.4-1build1) ... Setting up r-cran-colorspace (1.4-1+dfsg-1) ... Setting up r-cran-stringi (1.4.6-1build1) ... Setting up r-cran-markdown (1.1+dfsg-1) ... Setting up r-cran-plyr (1.8.5-1) ... Setting up r-cran-rcolorbrewer (1.1-2-2) ... Setting up r-cran-gridextra (2.3-2) ... Setting up r-cran-purrr (0.3.3-1) ... Setting up r-cran-zoo (1.8-7-2) ... Setting up r-cran-later (1.0.0+dfsg-2build1) ... Setting up r-cran-matrix (1.2-18-1) ... Setting up r-cran-htmltools (0.4.0-1build1) ... Setting up r-cran-mgcv (1.8-31-1) ... Setting up r-cran-loo (2.2.0-1) ... Setting up r-cran-rcppeigen (0.3.3.7.0-1build1) ... Setting up r-cran-stanheaders (2.21.0-1-1) ... Setting up r-cran-ellipsis (0.3.0-1) ... Setting up r-cran-minqa (1.2.4-1build3) ... Setting up r-cran-openssl (1.4.1+dfsg-2ubuntu1) ... Setting up r-cran-stringr (1.4.0-1) ... Setting up r-cran-callr (3.4.2-1) ... Setting up r-cran-desc (1.2.0-2) ... Setting up r-cran-munsell (0.5.0-1) ... Setting up r-cran-survival (3.1-8-1) ... Setting up r-cran-igraph (1.2.4.2-2build1) ... Setting up r-cran-xts (0.12-0-1) ... Setting up r-cran-lme4 (1.1-21-2build1) ... Setting up r-cran-htmlwidgets (1.5.1+dfsg-1) ... Setting up r-cran-reshape2 (1.4.3-2build1) ... Setting up r-cran-rsconnect (0.8.16-1) ... Setting up r-cran-scales (1.1.0-1) ... Setting up r-cran-promises (1.1.0-1build1) ... Setting up r-cran-rstantools (2.0.0-1) ... Setting up r-cran-pkgbuild (1.0.6-1) ... Setting up r-cran-vctrs (0.2.3-1) ... Setting up r-cran-pillar (1.4.3-1) ... Setting up r-cran-httpuv (1.5.2+dfsg-1build1) ... Setting up r-cran-tibble (2.1.3-2) ... Setting up r-cran-dygraphs (1.1.1.6+dfsg-1) ... Setting up r-cran-shiny (1.4.0+dfsg-1) ... Setting up r-cran-shinyjs (1.1-1) ... Setting up r-cran-tidyselect (1.0.0+dfsg-1) ... Setting up r-cran-miniui (0.1.1.1-2) ... Setting up r-cran-dplyr (0.8.4-1) ... Setting up r-cran-shinythemes (1.1.2+dfsg-1) ... Setting up r-cran-ggplot2 (3.2.1+dfsg-2) ... Setting up r-cran-colourpicker (1.0+dfsg-2) ... Setting up r-cran-ggridges (0.5.2-1) ... Setting up r-cran-crosstalk (1.0.0+dfsg-4) ... Setting up r-cran-rstan (2.19.2-1build1) ... Setting up r-cran-dt (0.12+dfsg-1) ... Setting up r-cran-bayesplot (1.7.1-2) ... Setting up r-cran-threejs (0.3.3+dfsg-1) ... Setting up r-cran-shinystan (2.5.0-2) ... Setting up debhelper (12.9ubuntu1) ... Setting up dh-autoreconf (19) ... Setting up dh-r (20200104) ... Setting up sbuild-build-depends-r-cran-rstanarm-dummy (0.invalid.0) ... Processing triggers for libc-bin (2.31-0ubuntu7) ... Processing triggers for systemd (245.2-1ubuntu2) ... +------------------------------------------------------------------------------+ | Build environment | +------------------------------------------------------------------------------+ Kernel: Linux 4.4.0-176-generic amd64 (x86_64) Toolchain package versions: binutils_2.34-5ubuntu1 dpkg-dev_1.19.7ubuntu3 g++-9_9.3.0-10ubuntu1 gcc-9_9.3.0-10ubuntu1 libc6-dev_2.31-0ubuntu7 libstdc++-9-dev_9.3.0-10ubuntu1 libstdc++6_10-20200324-1ubuntu1 linux-libc-dev_5.4.0-21.25 Package versions: adduser_3.118ubuntu1 advancecomp_2.1-2.1build1 apt_2.0.1ubuntu1 autoconf_2.69-11.1 automake_1:1.16.1-4ubuntu6 autopoint_0.19.8.1-10build1 autotools-dev_20180224.1 base-files_11ubuntu4 base-passwd_3.5.47 bash_5.0-6ubuntu1 binutils_2.34-5ubuntu1 binutils-common_2.34-5ubuntu1 binutils-x86-64-linux-gnu_2.34-5ubuntu1 bsdmainutils_11.1.2ubuntu3 bsdutils_1:2.34-0.1ubuntu8 build-essential_12.8ubuntu1 bzip2_1.0.8-2 ca-certificates_20190110ubuntu1 coreutils_8.30-3ubuntu2 cpp_4:9.3.0-1ubuntu2 cpp-9_9.3.0-10ubuntu1 dash_0.5.10.2-6 dctrl-tools_2.24-3 debconf_1.5.73 debhelper_12.9ubuntu1 debianutils_4.9.1 dh-autoreconf_19 dh-r_20200104 dh-strip-nondeterminism_1.6.3-2 diffutils_1:3.7-3 dpkg_1.19.7ubuntu3 dpkg-dev_1.19.7ubuntu3 dwz_0.13-5 e2fsprogs_1.45.5-2ubuntu1 fakeroot_1.24-1 fdisk_2.34-0.1ubuntu8 file_1:5.38-4 findutils_4.7.0-1ubuntu1 fontconfig_2.13.1-2ubuntu2 fontconfig-config_2.13.1-2ubuntu2 fonts-dejavu-core_2.37-1 fonts-font-awesome_5.0.10+really4.7.0~dfsg-1 fonts-glewlwyd_1.4.9-3 fonts-glyphicons-halflings_1.009~3.4.1+dfsg-1 g++_4:9.3.0-1ubuntu2 g++-9_9.3.0-10ubuntu1 gcc_4:9.3.0-1ubuntu2 gcc-10-base_10-20200324-1ubuntu1 gcc-9_9.3.0-10ubuntu1 gcc-9-base_9.3.0-10ubuntu1 gettext_0.19.8.1-10build1 gettext-base_0.19.8.1-10build1 gfortran_4:9.3.0-1ubuntu2 gfortran-9_9.3.0-10ubuntu1 gpg_2.2.19-3ubuntu2 gpg-agent_2.2.19-3ubuntu2 gpgconf_2.2.19-3ubuntu2 gpgv_2.2.19-3ubuntu2 grep_3.4-1 groff-base_1.22.4-4build1 gzip_1.10-0ubuntu4 hostname_3.23 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r-cran-vctrs_0.2.3-1 r-cran-viridislite_0.3.0-3 r-cran-withr_2.1.2-3 r-cran-xfun_0.12-1 r-cran-xtable_1:1.8-4-1 r-cran-xts_0.12-0-1 r-cran-yaml_2.2.1-1 r-cran-zoo_1.8-7-2 readline-common_8.0-4 sbuild-build-depends-core-dummy_0.invalid.0 sbuild-build-depends-r-cran-rstanarm-dummy_0.invalid.0 sed_4.7-1 sensible-utils_0.0.12+nmu1 systemd_245.2-1ubuntu2 systemd-sysv_245.2-1ubuntu2 sysvinit-utils_2.96-2.1ubuntu1 tar_1.30+dfsg-7 tzdata_2019c-3ubuntu1 ubuntu-keyring_2020.02.11.1 ucf_3.0038+nmu1 unzip_6.0-25ubuntu1 util-linux_2.34-0.1ubuntu8 x11-common_1:7.7+19ubuntu14 xauth_1:1.1-0ubuntu1 xdg-utils_1.1.3-2ubuntu1 xz-utils_5.2.4-1 zip_3.0-11build1 zlib1g_1:1.2.11.dfsg-2ubuntu1 zlib1g-dev_1:1.2.11.dfsg-2ubuntu1 +------------------------------------------------------------------------------+ | Build | +------------------------------------------------------------------------------+ Unpack source ------------- gpgv: Signature made Tue Feb 11 06:58:27 2020 UTC gpgv: using RSA key 9A3C07BD06DE2F416E813A5D612EF1613E050F54 gpgv: issuer "daissi@debian.org" gpgv: Can't check signature: No public key dpkg-source: warning: failed to verify signature on ./r-cran-rstanarm_2.19.2-2.dsc dpkg-source: info: extracting r-cran-rstanarm in r-cran-rstanarm-2.19.2 dpkg-source: info: unpacking r-cran-rstanarm_2.19.2.orig.tar.gz dpkg-source: info: unpacking r-cran-rstanarm_2.19.2-2.debian.tar.xz Check disc space ---------------- Sufficient free space for build User Environment ---------------- APT_CONFIG=/var/lib/sbuild/apt.conf DEB_BUILD_OPTIONS=noautodbgsym parallel=4 HOME=/sbuild-nonexistent LANG=C.UTF-8 LC_ALL=C.UTF-8 LOGNAME=buildd PATH=/usr/local/sbin:/usr/local/bin:/usr/sbin:/usr/bin:/sbin:/bin:/usr/games SCHROOT_ALIAS_NAME=build-PACKAGEBUILD-18968057 SCHROOT_CHROOT_NAME=build-PACKAGEBUILD-18968057 SCHROOT_COMMAND=env SCHROOT_GID=2501 SCHROOT_GROUP=buildd SCHROOT_SESSION_ID=build-PACKAGEBUILD-18968057 SCHROOT_UID=2001 SCHROOT_USER=buildd SHELL=/bin/sh TERM=unknown USER=buildd V=1 dpkg-buildpackage ----------------- dpkg-buildpackage: info: source package r-cran-rstanarm dpkg-buildpackage: info: source version 2.19.2-2 dpkg-buildpackage: info: source distribution unstable dpkg-source --before-build . dpkg-buildpackage: info: host architecture amd64 fakeroot debian/rules clean dh clean --buildsystem R dh_auto_clean -O--buildsystem=R dh_autoreconf_clean -O--buildsystem=R dh_clean -O--buildsystem=R debian/rules build make: 'build' is up to date. fakeroot debian/rules binary dh binary --buildsystem R dh_update_autotools_config -O--buildsystem=R dh_autoreconf -O--buildsystem=R dh_auto_configure -O--buildsystem=R dh_auto_build -O--buildsystem=R dh_auto_test -O--buildsystem=R create-stamp debian/debhelper-build-stamp dh_testroot -O--buildsystem=R dh_prep -O--buildsystem=R dh_auto_install -O--buildsystem=R I: R packages needed for DEP8: testthat, stanheaders (>= 2.18.1-10-2), bh, codetools, r-base-dev I: R Package: rstanarm Version: 2.19.2 I: Building using R version 3.6.3-2 I: R API version: r-api-3.5 I: Using built-time from d/changelog: Tue, 11 Feb 2020 07:01:55 +0100 mkdir -p /<>/debian/r-cran-rstanarm/usr/lib/R/site-library R CMD INSTALL -l /<>/debian/r-cran-rstanarm/usr/lib/R/site-library --clean . "--built-timestamp='Tue, 11 Feb 2020 07:01:55 +0100'" * installing *source* package ‘rstanarm’ ... ** package ‘rstanarm’ successfully unpacked and MD5 sums checked ** using staged installation ** libs make[1]: Entering directory '/<>/src' "/usr/lib/R/bin/Rscript" -e "source(file.path('..', 'tools', 'make_cc.R')); make_cc(commandArgs(TRUE))" stan_files/lm.stan Wrote C++ file "stan_files/lm.cc" g++ -std=gnu++14 -I"/usr/share/R/include" -DNDEBUG -I"../inst/include" -I"/usr/lib/R/site-library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -I"/usr/lib/R/site-library/StanHeaders/include" -I"/usr/lib/R/site-library/rstan/include" -I"/usr/lib/R/site-library/BH/include" -I"/usr/lib/R/site-library/Rcpp/include" -I"/usr/lib/R/site-library/RcppEigen/include" -fpic -g -O2 -fdebug-prefix-map=/build/r-base-jbaK_j/r-base-3.6.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g -c stan_files/lm.cc -o stan_files/lm.o In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:392, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:374, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/SparseCore:37, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Sparse:26, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_lpnorm<1, double>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 5>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::TriangularView >, 2>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: recursively required by substitution of ‘template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const Eigen::DenseBase&, const typename ThenDerived::Scalar&) const [with ThenDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:192:76: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10: required from ‘class Eigen::LLT >, 1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: required from ‘struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8: required from ‘struct Eigen::internal::evaluator > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:43:26: required from ‘struct Eigen::internal::traits > >::match > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:199:63: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl >::adj_Op, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:234:77: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21: required from ‘class Eigen::Tridiagonalization >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:225:48: required from ‘void Eigen::DenseBase::transposeInPlace() [with Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17: required from ‘Eigen::Matrix stan::math::to_matrix(const std::vector&, int, int) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Eigen::ArrayBase::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:25: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1, 1, true>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:69:75: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:390:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 390 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 391 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 392 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:110:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1536:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1536 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1591:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1591 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; U = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25: required from ‘static double stan::math::internal::dot_product_vari::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(typename stan::math::internal::dot_product_store_type::type, typename stan::math::internal::dot_product_store_type::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30: required from ‘bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10: required from ‘bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9: required from ‘static void stan::math::internal::finite, true>::check(const char*, const char*, const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:43: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23: required from ‘int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor; Scalar = double; XType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from ‘void stan::optimization::BFGSUpdate_HInv::search_direction(stan::optimization::BFGSUpdate_HInv::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/lm.hpp:1008:54: required from ‘void model_lm_namespace::model_lm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:167:9: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:34: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:168:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(const Eigen::Matrix&, const Eigen::Matrix&, stan::math::internal::dot_product_vari*, stan::math::internal::dot_product_vari*) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1; T1 = double; T2 = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:199:14: required from ‘stan::return_type_t stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; int R1 = -1; int C1 = 1; T2 = stan::math::var; int R2 = -1; int C2 = 1; = void; stan::return_type_t = stan::math::var]’ stan_files/lm.hpp:703:57: required from ‘T__ model_lm_namespace::model_lm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_lm_namespace::model_lm; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:222:11: required from ‘double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_lm_namespace::model_lm; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from ‘int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_lm_namespace::model_lm; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3: required from ‘int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:886:18: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>; Rhs = Eigen::Transpose >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:48:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:69:14: required from ‘stan::math::var stan::math::dot_self(const Eigen::Matrix&) [with int R = -1; int C = 1]’ stan_files/lm.hpp:71:46: required from ‘typename boost::math::tools::promote_args::type>::type model_lm_namespace::ll_mvn_ols_qr_lp(const Eigen::Matrix&, const Eigen::Matrix&, const T2__&, const T3__&, const T4__&, const T5__&, const int&, T_lp__&, T_lp_accum__&, std::ostream*) [with T0__ = stan::math::var; T1__ = double; T2__ = stan::math::var; T3__ = double; T4__ = double; T5__ = stan::math::var; T_lp__ = stan::math::var; T_lp_accum__ = stan::math::accumulator; typename boost::math::tools::promote_args::type>::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/lm.hpp:710:62: required from ‘T__ model_lm_namespace::model_lm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_lm_namespace::model_lm; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:191:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:180:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Transpose, -1, -1, false> >, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1846 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:374:28: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:507:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/lm.hpp:1008:54: required from ‘void model_lm_namespace::model_lm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:522:47: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:574:9: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix; Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:340:25: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:368, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:246:43: required from ‘Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:168:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(const Eigen::Matrix&, const Eigen::Matrix&, stan::math::internal::dot_product_vari*, stan::math::internal::dot_product_vari*) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1; T1 = double; T2 = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:199:14: required from ‘stan::return_type_t stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; int R1 = -1; int C1 = 1; T2 = stan::math::var; int R2 = -1; int C2 = 1; = void; stan::return_type_t = stan::math::var]’ stan_files/lm.hpp:703:57: required from ‘T__ model_lm_namespace::model_lm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_lm_namespace::model_lm; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from ‘void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:499:3: required from ‘Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:498, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 60 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 61 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:434:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_lm_namespace::model_lm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_lm_namespace::model_lm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_lm_namespace::model_lm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_lm_namespace::model_lm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_lm_namespace::model_lm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_lm_namespace::model_lm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_lm_namespace::model_lm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from ‘void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:499:3: required from ‘Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_lm_namespace::model_lm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_lm_namespace::model_lm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_lm_namespace::model_lm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_lm_namespace::model_lm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_lm_namespace::model_lm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/lm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:983:11: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:965:19: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/lm.hpp:18, from stan_files/lm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:176:21: required from ‘stan::mcmc::sample stan::mcmc::base_nuts::transition(stan::mcmc::sample&, stan::callbacks::logger&) [with Model = model_lm_namespace::model_lm; Hamiltonian = stan::mcmc::diag_e_metric; Integrator = stan::mcmc::expl_leapfrog; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/nuts/base_nuts.hpp:79:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_lm_namespace::model_lm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_lm_namespace::model_lm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_lm_namespace::model_lm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_lm_namespace::model_lm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_lm_namespace::model_lm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_lm_namespace::model_lm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_lm_namespace::model_lm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_lm_namespace::model_lm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_lm_namespace::model_lm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] "/usr/lib/R/bin/Rscript" -e "source(file.path('..', 'tools', 'make_cc.R')); make_cc(commandArgs(TRUE))" stan_files/mvmer.stan Wrote C++ file "stan_files/mvmer.cc" g++ -std=gnu++14 -I"/usr/share/R/include" -DNDEBUG -I"../inst/include" -I"/usr/lib/R/site-library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -I"/usr/lib/R/site-library/StanHeaders/include" -I"/usr/lib/R/site-library/rstan/include" -I"/usr/lib/R/site-library/BH/include" -I"/usr/lib/R/site-library/Rcpp/include" -I"/usr/lib/R/site-library/RcppEigen/include" -fpic -g -O2 -fdebug-prefix-map=/build/r-base-jbaK_j/r-base-3.6.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g -c stan_files/mvmer.cc -o stan_files/mvmer.o In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:392, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:374, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/SparseCore:37, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Sparse:26, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_lpnorm<1, double>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 5>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::TriangularView >, 2>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: recursively required by substitution of ‘template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const Eigen::DenseBase&, const typename ThenDerived::Scalar&) const [with ThenDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:192:76: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10: required from ‘class Eigen::LLT >, 1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: required from ‘struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8: required from ‘struct Eigen::internal::evaluator > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:43:26: required from ‘struct Eigen::internal::traits > >::match > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:199:63: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl >::adj_Op, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:234:77: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21: required from ‘class Eigen::Tridiagonalization >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:225:48: required from ‘void Eigen::DenseBase::transposeInPlace() [with Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17: required from ‘Eigen::Matrix stan::math::to_matrix(const std::vector&, int, int) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Eigen::ArrayBase::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:25: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1, 1, true>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/log.hpp:40:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::log(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/mvmer.hpp:5035:265: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/sqrt.hpp:32:48: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::sqrt(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/mvmer.hpp:5082:68: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:69:75: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:390:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 390 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 391 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 392 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/diag_pre_multiply.hpp:18:26: required from ‘Eigen::Matrix::type, R2, C2> stan::math::diag_pre_multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = 1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ stan_files/mvmer.hpp:7665:83: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_vector.hpp:17:50: required from ‘Eigen::Matrix stan::math::to_vector(const Eigen::Matrix&) [with T = double; int R = -1; int C = -1]’ stan_files/mvmer.hpp:7771:44: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/quad_form_diag.hpp:21:33: required from ‘Eigen::Matrix::type, -1, -1> stan::math::quad_form_diag(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/mvmer.hpp:7895:87: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:110:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1536:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1536 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1591:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1591 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; U = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25: required from ‘static double stan::math::internal::dot_product_vari::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(typename stan::math::internal::dot_product_store_type::type, typename stan::math::internal::dot_product_store_type::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30: required from ‘bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10: required from ‘bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9: required from ‘static void stan::math::internal::finite, true>::check(const char*, const char*, const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:28:13: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/mvmer.hpp:2877:41: required from ‘Eigen::Matrix::type>::type>::type, -1, 1> model_mvmer_namespace::make_beta(const Eigen::Matrix&, const int&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const T5__&, const std::vector&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const int&, const T12__&, const std::vector&, std::ostream*) [with T0__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; T8__ = double; T9__ = double; T10__ = double; T12__ = double; T13__ = double; typename boost::math::tools::promote_args::type>::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:7586:53: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:26:28: required from ‘Eigen::Matrix stan::math::segment(const Eigen::Matrix&, size_t, size_t) [with T = double; size_t = long unsigned int]’ stan_files/mvmer.hpp:219:46: required from ‘Eigen::Matrix::type>::type, -1, 1> model_mvmer_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:7645:57: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:43:20: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const T2&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/mvmer.hpp:3187:44: required from ‘Eigen::Matrix::type>::type, -1, 1> model_mvmer_namespace::evaluate_eta(const Eigen::Matrix&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T5__ = double; T6__ = double; T7__ = double; T8__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:7803:66: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:43: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23: required from ‘int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor; Scalar = double; XType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from ‘void stan::optimization::BFGSUpdate_HInv::search_direction(stan::optimization::BFGSUpdate_HInv::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:58:12: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const T1&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/mvmer.hpp:672:95: required from ‘Eigen::Matrix::type>::type, -1, 1> model_mvmer_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:2901:50: required from ‘Eigen::Matrix::type>::type>::type, -1, 1> model_mvmer_namespace::make_beta(const Eigen::Matrix&, const int&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const T5__&, const std::vector&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const int&, const T12__&, const std::vector&, std::ostream*) [with T0__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; T8__ = double; T9__ = double; T10__ = double; T12__ = double; T13__ = double; typename boost::math::tools::promote_args::type>::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:7586:53: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/elt_divide.hpp:27:21: required from ‘Eigen::Matrix::type, R, C> stan::math::elt_divide(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/mvmer.hpp:672:68: required from ‘Eigen::Matrix::type>::type, -1, 1> model_mvmer_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:2901:50: required from ‘Eigen::Matrix::type>::type>::type, -1, 1> model_mvmer_namespace::make_beta(const Eigen::Matrix&, const int&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const T5__&, const std::vector&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const int&, const T12__&, const std::vector&, std::ostream*) [with T0__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; T8__ = double; T9__ = double; T10__ = double; T12__ = double; T13__ = double; typename boost::math::tools::promote_args::type>::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:7586:53: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/mvmer.hpp:7865:79: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:167:9: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:34: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/square.hpp:31:50: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::square(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/mvmer.hpp:665:42: required from ‘Eigen::Matrix::type>::type, -1, 1> model_mvmer_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:2901:50: required from ‘Eigen::Matrix::type>::type>::type, -1, 1> model_mvmer_namespace::make_beta(const Eigen::Matrix&, const int&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const T5__&, const std::vector&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const int&, const T12__&, const std::vector&, std::ostream*) [with T0__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; T8__ = double; T9__ = double; T10__ = double; T12__ = double; T13__ = double; typename boost::math::tools::promote_args::type>::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:7586:53: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/exp.hpp:41:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::exp(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/mvmer.hpp:1670:85: required from ‘Eigen::Matrix::type, -1, 1> model_mvmer_namespace::linkinv_gauss(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:3281:49: required from ‘Eigen::Matrix::type, -1, 1> model_mvmer_namespace::evaluate_mu(const Eigen::Matrix&, const int&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:7803:53: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv.hpp:31:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/mvmer.hpp:1673:73: required from ‘Eigen::Matrix::type, -1, 1> model_mvmer_namespace::linkinv_gauss(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:3281:49: required from ‘Eigen::Matrix::type, -1, 1> model_mvmer_namespace::evaluate_mu(const Eigen::Matrix&, const int&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:7803:53: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv_sqrt.hpp:32:52: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv_sqrt(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/mvmer.hpp:1966:78: required from ‘Eigen::Matrix::type, -1, 1> model_mvmer_namespace::linkinv_inv_gaussian(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:3287:56: required from ‘Eigen::Matrix::type, -1, 1> model_mvmer_namespace::evaluate_mu(const Eigen::Matrix&, const int&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:7803:53: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv_logit.hpp:32:53: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv_logit(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/mvmer.hpp:1047:79: required from ‘Eigen::Matrix::type, -1, 1> model_mvmer_namespace::linkinv_bern(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:3290:48: required from ‘Eigen::Matrix::type, -1, 1> model_mvmer_namespace::evaluate_mu(const Eigen::Matrix&, const int&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:7803:53: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Phi.hpp:31:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::Phi(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/mvmer.hpp:1050:73: required from ‘Eigen::Matrix::type, -1, 1> model_mvmer_namespace::linkinv_bern(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:3290:48: required from ‘Eigen::Matrix::type, -1, 1> model_mvmer_namespace::evaluate_mu(const Eigen::Matrix&, const int&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:7803:53: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/atan.hpp:32:48: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::atan(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/mvmer.hpp:1053:97: required from ‘Eigen::Matrix::type, -1, 1> model_mvmer_namespace::linkinv_bern(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:3290:48: required from ‘Eigen::Matrix::type, -1, 1> model_mvmer_namespace::evaluate_mu(const Eigen::Matrix&, const int&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:7803:53: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv_cloglog.hpp:32:55: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv_cloglog(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/mvmer.hpp:1059:81: required from ‘Eigen::Matrix::type, -1, 1> model_mvmer_namespace::linkinv_bern(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:3290:48: required from ‘Eigen::Matrix::type, -1, 1> model_mvmer_namespace::evaluate_mu(const Eigen::Matrix&, const int&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:7803:53: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:29:50: required from ‘stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with T_covar = double; T_shape = double; stan::return_type_t = double]’ stan_files/mvmer.hpp:6858:61: required from ‘T__ model_mvmer_namespace::model_mvmer::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0>, -1, 1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_lpdf.hpp:39:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:29:50: required from ‘stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with T_covar = double; T_shape = double; stan::return_type_t = double]’ stan_files/mvmer.hpp:6858:61: required from ‘T__ model_mvmer_namespace::model_mvmer::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_lpdf.hpp:38:47: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:29:50: required from ‘stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with T_covar = double; T_shape = double; stan::return_type_t = double]’ stan_files/mvmer.hpp:6858:61: required from ‘T__ model_mvmer_namespace::model_mvmer::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:222:11: required from ‘double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_mvmer_namespace::model_mvmer; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from ‘int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_mvmer_namespace::model_mvmer; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3: required from ‘int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:886:18: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>; Rhs = Eigen::Transpose >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:48:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:69:14: required from ‘stan::math::var stan::math::dot_self(const Eigen::Matrix&) [with int R = -1; int C = 1]’ stan_files/mvmer.hpp:270:117: required from ‘Eigen::Matrix::type>::type, -1, 1> model_mvmer_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = stan::math::var; T3__ = stan::math::var; T4__ = double; T5__ = stan::math::var; T6__ = stan::math::var; T7__ = stan::math::var; typename boost::math::tools::promote_args::type>::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:6562:57: required from ‘T__ model_mvmer_namespace::model_mvmer::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mvmer_namespace::model_mvmer; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:59:14: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stan_files/mvmer.hpp:1819:103: required from ‘typename boost::math::tools::promote_args::type model_mvmer_namespace::GammaReg(const Eigen::Matrix&, const Eigen::Matrix&, const T2__&, const int&, const T4__&, std::ostream*) [with T0__ = double; T1__ = stan::math::var; T2__ = stan::math::var; T4__ = double; typename boost::math::tools::promote_args::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:3357:36: required from ‘void model_mvmer_namespace::glm_lp(const Eigen::Matrix&, const std::vector&, const Eigen::Matrix&, const std::vector&, const int&, const int&, const T6__&, const Eigen::Matrix&, const Eigen::Matrix&, T_lp__&, T_lp_accum__&, std::ostream*) [with T0__ = double; T2__ = stan::math::var; T3__ = stan::math::var; T6__ = double; T7__ = double; T8__ = double; T_lp__ = stan::math::var; T_lp_accum__ = stan::math::accumulator; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:6777:23: required from ‘T__ model_mvmer_namespace::model_mvmer::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mvmer_namespace::model_mvmer; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:191:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:180:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Transpose, -1, -1, false> >, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1846 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:374:28: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:507:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/mvmer.hpp:7865:79: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:522:47: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:26:28: required from ‘Eigen::Matrix stan::math::segment(const Eigen::Matrix&, size_t, size_t) [with T = double; size_t = long unsigned int]’ stan_files/mvmer.hpp:219:46: required from ‘Eigen::Matrix::type>::type, -1, 1> model_mvmer_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:7645:57: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from ‘Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ stan_files/mvmer.hpp:7665:65: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:574:9: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix; Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:340:25: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:368, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:246:43: required from ‘Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:498, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 60 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 61 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0>, -1, 1, false> > >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:29:50: required from ‘stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with T_covar = double; T_shape = double; stan::return_type_t = double]’ stan_files/mvmer.hpp:6858:61: required from ‘T__ model_mvmer_namespace::model_mvmer::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stan_files/mvmer.hpp:1819:103: required from ‘typename boost::math::tools::promote_args::type model_mvmer_namespace::GammaReg(const Eigen::Matrix&, const Eigen::Matrix&, const T2__&, const int&, const T4__&, std::ostream*) [with T0__ = double; T1__ = stan::math::var; T2__ = stan::math::var; T4__ = double; typename boost::math::tools::promote_args::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:3357:36: required from ‘void model_mvmer_namespace::glm_lp(const Eigen::Matrix&, const std::vector&, const Eigen::Matrix&, const std::vector&, const int&, const int&, const T6__&, const Eigen::Matrix&, const Eigen::Matrix&, T_lp__&, T_lp_accum__&, std::ostream*) [with T0__ = double; T2__ = stan::math::var; T3__ = stan::math::var; T6__ = double; T7__ = double; T8__ = double; T_lp__ = stan::math::var; T_lp_accum__ = stan::math::accumulator; std::ostream = std::basic_ostream]’ stan_files/mvmer.hpp:6777:23: required from ‘T__ model_mvmer_namespace::model_mvmer::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mvmer_namespace::model_mvmer; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:434:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_mvmer_namespace::model_mvmer; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from ‘Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ stan_files/mvmer.hpp:7665:65: required from ‘void model_mvmer_namespace::model_mvmer::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_mvmer_namespace::model_mvmer; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_mvmer_namespace::model_mvmer; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_mvmer_namespace::model_mvmer; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_mvmer_namespace::model_mvmer; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_mvmer_namespace::model_mvmer; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]’ stan_files/mvmer.hpp:6582:65: required from ‘T__ model_mvmer_namespace::model_mvmer::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mvmer_namespace::model_mvmer; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_mvmer_namespace::model_mvmer; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_mvmer_namespace::model_mvmer; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_mvmer_namespace::model_mvmer; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_mvmer_namespace::model_mvmer]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:983:11: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]’ stan_files/mvmer.hpp:6582:65: required from ‘T__ model_mvmer_namespace::model_mvmer::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mvmer_namespace::model_mvmer; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]’ stan_files/mvmer.hpp:6582:65: required from ‘T__ model_mvmer_namespace::model_mvmer::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mvmer_namespace::model_mvmer; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]’ stan_files/mvmer.hpp:6582:65: required from ‘T__ model_mvmer_namespace::model_mvmer::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mvmer_namespace::model_mvmer; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]’ stan_files/mvmer.hpp:6582:65: required from ‘T__ model_mvmer_namespace::model_mvmer::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mvmer_namespace::model_mvmer; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]’ stan_files/mvmer.hpp:6582:65: required from ‘T__ model_mvmer_namespace::model_mvmer::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mvmer_namespace::model_mvmer; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]’ stan_files/mvmer.hpp:6582:65: required from ‘T__ model_mvmer_namespace::model_mvmer::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_mvmer_namespace::model_mvmer; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_mvmer_namespace::model_mvmer; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/mvmer.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:965:19: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/mvmer.hpp:18, from stan_files/mvmer.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_mvmer_namespace::model_mvmer; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_mvmer_namespace::model_mvmer; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_mvmer_namespace::model_mvmer; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_mvmer_namespace::model_mvmer; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_mvmer_namespace::model_mvmer; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:9: required from ‘void stan::math::multiply_mat_vari::chain() [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:107:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_mvmer_namespace::model_mvmer; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_mvmer_namespace::model_mvmer; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_mvmer_namespace::model_mvmer; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_mvmer_namespace::model_mvmer; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from stan_files/mvmer.cc:3: stan_files/mvmer.hpp: In member function ‘void model_mvmer_namespace::model_mvmer::ctor_body(stan::io::var_context&, unsigned int, std::ostream*)’: stan_files/mvmer.hpp:3897:10: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 3897 | void ctor_body(stan::io::var_context& context__, | ^~~~~~~~~ "/usr/lib/R/bin/Rscript" -e "source(file.path('..', 'tools', 'make_cc.R')); make_cc(commandArgs(TRUE))" stan_files/binomial.stan Wrote C++ file "stan_files/binomial.cc" g++ -std=gnu++14 -I"/usr/share/R/include" -DNDEBUG -I"../inst/include" -I"/usr/lib/R/site-library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -I"/usr/lib/R/site-library/StanHeaders/include" -I"/usr/lib/R/site-library/rstan/include" -I"/usr/lib/R/site-library/BH/include" -I"/usr/lib/R/site-library/Rcpp/include" -I"/usr/lib/R/site-library/RcppEigen/include" -fpic -g -O2 -fdebug-prefix-map=/build/r-base-jbaK_j/r-base-3.6.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g -c stan_files/binomial.cc -o stan_files/binomial.o In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:392, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:374, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/SparseCore:37, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Sparse:26, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_lpnorm<1, double>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 5>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::TriangularView >, 2>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: recursively required by substitution of ‘template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const Eigen::DenseBase&, const typename ThenDerived::Scalar&) const [with ThenDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:192:76: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10: required from ‘class Eigen::LLT >, 1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: required from ‘struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8: required from ‘struct Eigen::internal::evaluator > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:43:26: required from ‘struct Eigen::internal::traits > >::match > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:199:63: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl >::adj_Op, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:234:77: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21: required from ‘class Eigen::Tridiagonalization >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:225:48: required from ‘void Eigen::DenseBase::transposeInPlace() [with Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17: required from ‘Eigen::Matrix stan::math::to_matrix(const std::vector&, int, int) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Eigen::ArrayBase::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:25: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1, 1, true>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:69:75: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:390:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 390 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 391 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 392 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:28:13: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/binomial.hpp:3415:45: required from ‘void model_binomial_namespace::model_binomial::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:43:20: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const T2&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/binomial.hpp:3700:52: required from ‘void model_binomial_namespace::model_binomial::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:110:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1536:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1536 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1591:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1591 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; U = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25: required from ‘static double stan::math::internal::dot_product_vari::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(typename stan::math::internal::dot_product_store_type::type, typename stan::math::internal::dot_product_store_type::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30: required from ‘bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10: required from ‘bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9: required from ‘static void stan::math::internal::finite, true>::check(const char*, const char*, const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:58:12: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const T1&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/binomial.hpp:680:95: required from ‘Eigen::Matrix::type>::type, -1, 1> model_binomial_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/binomial.hpp:3439:54: required from ‘void model_binomial_namespace::model_binomial::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/elt_divide.hpp:27:21: required from ‘Eigen::Matrix::type, R, C> stan::math::elt_divide(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/binomial.hpp:680:68: required from ‘Eigen::Matrix::type>::type, -1, 1> model_binomial_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/binomial.hpp:3439:54: required from ‘void model_binomial_namespace::model_binomial::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/sqrt.hpp:32:48: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::sqrt(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/binomial.hpp:3466:113: required from ‘void model_binomial_namespace::model_binomial::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:26:28: required from ‘Eigen::Matrix stan::math::segment(const Eigen::Matrix&, size_t, size_t) [with T = double; size_t = long unsigned int]’ stan_files/binomial.hpp:227:46: required from ‘Eigen::Matrix::type>::type, -1, 1> model_binomial_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/binomial.hpp:3570:61: required from ‘void model_binomial_namespace::model_binomial::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:43: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23: required from ‘int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor; Scalar = double; XType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from ‘void stan::optimization::BFGSUpdate_HInv::search_direction(stan::optimization::BFGSUpdate_HInv::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/square.hpp:31:50: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::square(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/binomial.hpp:673:42: required from ‘Eigen::Matrix::type>::type, -1, 1> model_binomial_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/binomial.hpp:3439:54: required from ‘void model_binomial_namespace::model_binomial::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/binomial.hpp:3628:79: required from ‘void model_binomial_namespace::model_binomial::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv_logit.hpp:32:53: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv_logit(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/binomial.hpp:1055:79: required from ‘Eigen::Matrix::type, -1, 1> model_binomial_namespace::linkinv_binom(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/binomial.hpp:3726:53: required from ‘void model_binomial_namespace::model_binomial::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Phi.hpp:31:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::Phi(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/binomial.hpp:1058:73: required from ‘Eigen::Matrix::type, -1, 1> model_binomial_namespace::linkinv_binom(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/binomial.hpp:3726:53: required from ‘void model_binomial_namespace::model_binomial::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/atan.hpp:32:48: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::atan(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/binomial.hpp:1061:97: required from ‘Eigen::Matrix::type, -1, 1> model_binomial_namespace::linkinv_binom(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/binomial.hpp:3726:53: required from ‘void model_binomial_namespace::model_binomial::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/exp.hpp:41:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::exp(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/binomial.hpp:1064:85: required from ‘Eigen::Matrix::type, -1, 1> model_binomial_namespace::linkinv_binom(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/binomial.hpp:3726:53: required from ‘void model_binomial_namespace::model_binomial::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv_cloglog.hpp:32:55: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv_cloglog(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/binomial.hpp:1067:81: required from ‘Eigen::Matrix::type, -1, 1> model_binomial_namespace::linkinv_binom(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/binomial.hpp:3726:53: required from ‘void model_binomial_namespace::model_binomial::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:167:9: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:34: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:168:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(const Eigen::Matrix&, const Eigen::Matrix&, stan::math::internal::dot_product_vari*, stan::math::internal::dot_product_vari*) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1; T1 = double; T2 = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:199:14: required from ‘stan::return_type_t stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; int R1 = -1; int C1 = 1; T2 = stan::math::var; int R2 = -1; int C2 = 1; = void; stan::return_type_t = stan::math::var]’ stan_files/binomial.hpp:2961:65: required from ‘T__ model_binomial_namespace::model_binomial::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_binomial_namespace::model_binomial; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:222:11: required from ‘double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_binomial_namespace::model_binomial; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from ‘int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_binomial_namespace::model_binomial; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3: required from ‘int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:886:18: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>; Rhs = Eigen::Transpose >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:48:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:69:14: required from ‘stan::math::var stan::math::dot_self(const Eigen::Matrix&) [with int R = -1; int C = 1]’ stan_files/binomial.hpp:278:117: required from ‘Eigen::Matrix::type>::type, -1, 1> model_binomial_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = double; T3__ = stan::math::var; T4__ = double; T5__ = stan::math::var; T6__ = stan::math::var; T7__ = stan::math::var; typename boost::math::tools::promote_args::type>::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/binomial.hpp:2839:61: required from ‘T__ model_binomial_namespace::model_binomial::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_binomial_namespace::model_binomial; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:191:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:180:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Transpose, -1, -1, false> >, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1846 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:374:28: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:507:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/binomial.hpp:3628:79: required from ‘void model_binomial_namespace::model_binomial::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:522:47: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:26:28: required from ‘Eigen::Matrix stan::math::segment(const Eigen::Matrix&, size_t, size_t) [with T = double; size_t = long unsigned int]’ stan_files/binomial.hpp:227:46: required from ‘Eigen::Matrix::type>::type, -1, 1> model_binomial_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/binomial.hpp:3570:61: required from ‘void model_binomial_namespace::model_binomial::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:574:9: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix; Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:340:25: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:368, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:246:43: required from ‘Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:168:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(const Eigen::Matrix&, const Eigen::Matrix&, stan::math::internal::dot_product_vari*, stan::math::internal::dot_product_vari*) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1; T1 = double; T2 = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:199:14: required from ‘stan::return_type_t stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; int R1 = -1; int C1 = 1; T2 = stan::math::var; int R2 = -1; int C2 = 1; = void; stan::return_type_t = stan::math::var]’ stan_files/binomial.hpp:2961:65: required from ‘T__ model_binomial_namespace::model_binomial::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_binomial_namespace::model_binomial; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from ‘void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:499:3: required from ‘Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:498, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 60 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 61 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:434:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_binomial_namespace::model_binomial; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_binomial_namespace::model_binomial; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_binomial_namespace::model_binomial; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_binomial_namespace::model_binomial; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_binomial_namespace::model_binomial; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_binomial_namespace::model_binomial; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_binomial_namespace::model_binomial; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/binomial.hpp:2913:57: required from ‘T__ model_binomial_namespace::model_binomial::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_binomial_namespace::model_binomial; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from ‘void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:499:3: required from ‘Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_binomial_namespace::model_binomial; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_binomial_namespace::model_binomial; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_binomial_namespace::model_binomial; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_binomial_namespace::model_binomial]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:983:11: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/binomial.hpp:2913:57: required from ‘T__ model_binomial_namespace::model_binomial::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_binomial_namespace::model_binomial; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/binomial.hpp:2913:57: required from ‘T__ model_binomial_namespace::model_binomial::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_binomial_namespace::model_binomial; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/binomial.hpp:2913:57: required from ‘T__ model_binomial_namespace::model_binomial::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_binomial_namespace::model_binomial; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/binomial.hpp:2913:57: required from ‘T__ model_binomial_namespace::model_binomial::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_binomial_namespace::model_binomial; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/binomial.hpp:2913:57: required from ‘T__ model_binomial_namespace::model_binomial::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_binomial_namespace::model_binomial; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/binomial.hpp:2913:57: required from ‘T__ model_binomial_namespace::model_binomial::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_binomial_namespace::model_binomial; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_binomial_namespace::model_binomial; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/binomial.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:965:19: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/binomial.hpp:18, from stan_files/binomial.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_binomial_namespace::model_binomial; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_binomial_namespace::model_binomial; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_binomial_namespace::model_binomial; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_binomial_namespace::model_binomial; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_binomial_namespace::model_binomial; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:9: required from ‘void stan::math::multiply_mat_vari::chain() [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:107:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_binomial_namespace::model_binomial; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_binomial_namespace::model_binomial; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_binomial_namespace::model_binomial; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_binomial_namespace::model_binomial; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] "/usr/lib/R/bin/Rscript" -e "source(file.path('..', 'tools', 'make_cc.R')); make_cc(commandArgs(TRUE))" stan_files/count.stan Wrote C++ file "stan_files/count.cc" g++ -std=gnu++14 -I"/usr/share/R/include" -DNDEBUG -I"../inst/include" -I"/usr/lib/R/site-library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -I"/usr/lib/R/site-library/StanHeaders/include" -I"/usr/lib/R/site-library/rstan/include" -I"/usr/lib/R/site-library/BH/include" -I"/usr/lib/R/site-library/Rcpp/include" -I"/usr/lib/R/site-library/RcppEigen/include" -fpic -g -O2 -fdebug-prefix-map=/build/r-base-jbaK_j/r-base-3.6.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g -c stan_files/count.cc -o stan_files/count.o In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:392, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:374, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/SparseCore:37, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Sparse:26, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_lpnorm<1, double>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 5>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::TriangularView >, 2>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: recursively required by substitution of ‘template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const Eigen::DenseBase&, const typename ThenDerived::Scalar&) const [with ThenDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:192:76: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10: required from ‘class Eigen::LLT >, 1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: required from ‘struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8: required from ‘struct Eigen::internal::evaluator > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:43:26: required from ‘struct Eigen::internal::traits > >::match > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:199:63: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl >::adj_Op, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:234:77: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21: required from ‘class Eigen::Tridiagonalization >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:225:48: required from ‘void Eigen::DenseBase::transposeInPlace() [with Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17: required from ‘Eigen::Matrix stan::math::to_matrix(const std::vector&, int, int) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Eigen::ArrayBase::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:25: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1, 1, true>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:69:75: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:390:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 390 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 391 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 392 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:28:13: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/count.hpp:3644:45: required from ‘void model_count_namespace::model_count::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:43:20: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const T2&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/count.hpp:3950:52: required from ‘void model_count_namespace::model_count::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:58:12: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const T1&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/count.hpp:3981:61: required from ‘void model_count_namespace::model_count::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:110:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1536:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1536 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1591:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1591 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; U = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25: required from ‘static double stan::math::internal::dot_product_vari::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(typename stan::math::internal::dot_product_store_type::type, typename stan::math::internal::dot_product_store_type::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30: required from ‘bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10: required from ‘bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9: required from ‘static void stan::math::internal::finite, true>::check(const char*, const char*, const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/elt_divide.hpp:27:21: required from ‘Eigen::Matrix::type, R, C> stan::math::elt_divide(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/count.hpp:680:68: required from ‘Eigen::Matrix::type>::type, -1, 1> model_count_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/count.hpp:3668:54: required from ‘void model_count_namespace::model_count::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/sqrt.hpp:32:48: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::sqrt(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/count.hpp:3695:113: required from ‘void model_count_namespace::model_count::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:26:28: required from ‘Eigen::Matrix stan::math::segment(const Eigen::Matrix&, size_t, size_t) [with T = double; size_t = long unsigned int]’ stan_files/count.hpp:227:46: required from ‘Eigen::Matrix::type>::type, -1, 1> model_count_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/count.hpp:3815:65: required from ‘void model_count_namespace::model_count::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/log.hpp:40:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::log(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/count.hpp:3981:99: required from ‘void model_count_namespace::model_count::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:43: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23: required from ‘int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor; Scalar = double; XType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from ‘void stan::optimization::BFGSUpdate_HInv::search_direction(stan::optimization::BFGSUpdate_HInv::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:87:53: required from ‘stan::return_type_t stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:29:37: required from ‘stan::return_type_t stan::math::poisson_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3000:59: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:95:27: required from ‘stan::return_type_t stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:29:37: required from ‘stan::return_type_t stan::math::poisson_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3000:59: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:95:39: required from ‘stan::return_type_t stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:29:37: required from ‘stan::return_type_t stan::math::poisson_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3000:59: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:104:56: required from ‘stan::return_type_t stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:29:37: required from ‘stan::return_type_t stan::math::poisson_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3000:59: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:110:47: required from ‘stan::return_type_t stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:29:37: required from ‘stan::return_type_t stan::math::poisson_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3000:59: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:111:17: required from ‘stan::return_type_t stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:29:37: required from ‘stan::return_type_t stan::math::poisson_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3000:59: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:117:55: required from ‘stan::return_type_t stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:29:37: required from ‘stan::return_type_t stan::math::poisson_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3000:59: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:121:25: required from ‘stan::return_type_t stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:29:37: required from ‘stan::return_type_t stan::math::poisson_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3000:59: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:121:9: required from ‘stan::return_type_t stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:29:37: required from ‘stan::return_type_t stan::math::poisson_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3000:59: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:124:38: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:124:34: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:124:27: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:125:40: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:125:36: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:125:29: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:122:40: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:146:28: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:149:23: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:162:57: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:162:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:162:19: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:181:30: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:181:17: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:181:54: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:182:15: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:182:40: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:183:15: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:187:33: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:187:57: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:188:21: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:189:21: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:190:21: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/square.hpp:31:50: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::square(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/count.hpp:673:42: required from ‘Eigen::Matrix::type>::type, -1, 1> model_count_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/count.hpp:3668:54: required from ‘void model_count_namespace::model_count::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/count.hpp:3878:79: required from ‘void model_count_namespace::model_count::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/exp.hpp:41:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::exp(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/count.hpp:1055:85: required from ‘Eigen::Matrix::type, -1, 1> model_count_namespace::linkinv_count(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/count.hpp:3994:53: required from ‘void model_count_namespace::model_count::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:167:9: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:34: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:168:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(const Eigen::Matrix&, const Eigen::Matrix&, stan::math::internal::dot_product_vari*, stan::math::internal::dot_product_vari*) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1; T1 = double; T2 = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:199:14: required from ‘stan::return_type_t stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; int R1 = -1; int C1 = 1; T2 = stan::math::var; int R2 = -1; int C2 = 1; = void; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3083:65: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:150:10: required from ‘Eigen::Matrix stan::math::append_row(const Eigen::Matrix&, const Eigen::Matrix&) [with T = double; int R1 = -1; int R2 = -1]’ stan_files/count.hpp:2990:124: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:222:11: required from ‘double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_count_namespace::model_count; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from ‘int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_count_namespace::model_count; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3: required from ‘int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:886:18: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >::scalar_t)>, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >::scalar_t)>, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >::scalar_t)>, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >::scalar_t)>, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]::, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >::scalar_t)>, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:104:25: required from ‘stan::return_type_t stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:29:37: required from ‘stan::return_type_t stan::math::poisson_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3000:59: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::Array; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::Array; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::Array; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::Array; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::Array; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:152:23: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::Array; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::Array; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::Array; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::Array; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::Array; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:182:68: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>; Rhs = Eigen::Transpose >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:48:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:69:14: required from ‘stan::math::var stan::math::dot_self(const Eigen::Matrix&) [with int R = -1; int C = 1]’ stan_files/count.hpp:278:117: required from ‘Eigen::Matrix::type>::type, -1, 1> model_count_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = double; T3__ = stan::math::var; T4__ = double; T5__ = stan::math::var; T6__ = stan::math::var; T7__ = stan::math::var; typename boost::math::tools::promote_args::type>::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/count.hpp:2914:65: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:191:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:180:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Transpose, -1, -1, false> >, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1846 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:374:28: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:507:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/count.hpp:3878:79: required from ‘void model_count_namespace::model_count::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:522:47: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/sum.hpp:21:16: required from ‘typename Eigen::DenseBase::Scalar stan::math::sum(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >; typename Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_lpmf.hpp:110:16: required from ‘stan::return_type_t stan::math::poisson_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/poisson_log_glm_log.hpp:29:37: required from ‘stan::return_type_t stan::math::poisson_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3000:59: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Array, const Eigen::Array > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/sum.hpp:21:16: required from ‘typename Eigen::DenseBase::Scalar stan::math::sum(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >; typename Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:146:16: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/sum.hpp:21:16: required from ‘typename Eigen::DenseBase::Scalar stan::math::sum(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, const Eigen::Array >; typename Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:149:16: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/sum.hpp:21:16: required from ‘typename Eigen::DenseBase::Scalar stan::math::sum(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >; typename Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:187:20: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:26:28: required from ‘Eigen::Matrix stan::math::segment(const Eigen::Matrix&, size_t, size_t) [with T = double; size_t = long unsigned int]’ stan_files/count.hpp:227:46: required from ‘Eigen::Matrix::type>::type, -1, 1> model_count_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/count.hpp:3815:65: required from ‘void model_count_namespace::model_count::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:574:9: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix; Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:340:25: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:368, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:246:43: required from ‘Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:168:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(const Eigen::Matrix&, const Eigen::Matrix&, stan::math::internal::dot_product_vari*, stan::math::internal::dot_product_vari*) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1; T1 = double; T2 = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:199:14: required from ‘stan::return_type_t stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; int R1 = -1; int C1 = 1; T2 = stan::math::var; int R2 = -1; int C2 = 1; = void; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3083:65: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from ‘void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:499:3: required from ‘Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:498, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 60 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 61 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:150:10: required from ‘Eigen::Matrix stan::math::append_row(const Eigen::Matrix&, const Eigen::Matrix&) [with T = double; int R1 = -1; int R2 = -1]’ stan_files/count.hpp:2990:124: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_lpmf.hpp:118:40: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/neg_binomial_2_log_glm_log.hpp:30:44: required from ‘stan::return_type_t stan::math::neg_binomial_2_log_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_precision&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = Eigen::Matrix; T_beta = Eigen::Matrix; T_precision = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/count.hpp:3012:66: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:434:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_count_namespace::model_count; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_count_namespace::model_count; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_count_namespace::model_count; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_count_namespace::model_count; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_count_namespace::model_count; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_count_namespace::model_count; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/count.hpp:3035:57: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from ‘void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:499:3: required from ‘Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_count_namespace::model_count; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_count_namespace::model_count; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_count_namespace::model_count; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_count_namespace::model_count]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:983:11: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/count.hpp:3035:57: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/count.hpp:3035:57: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/count.hpp:3035:57: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/count.hpp:3035:57: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/count.hpp:3035:57: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/count.hpp:3035:57: required from ‘T__ model_count_namespace::model_count::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_count_namespace::model_count; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_count_namespace::model_count; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/count.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:965:19: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/count.hpp:18, from stan_files/count.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_count_namespace::model_count; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_count_namespace::model_count; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_count_namespace::model_count; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_count_namespace::model_count; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_count_namespace::model_count; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:9: required from ‘void stan::math::multiply_mat_vari::chain() [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:107:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_count_namespace::model_count; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_count_namespace::model_count; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_count_namespace::model_count; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_count_namespace::model_count; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] "/usr/lib/R/bin/Rscript" -e "source(file.path('..', 'tools', 'make_cc.R')); make_cc(commandArgs(TRUE))" stan_files/jm.stan Wrote C++ file "stan_files/jm.cc" g++ -std=gnu++14 -I"/usr/share/R/include" -DNDEBUG -I"../inst/include" -I"/usr/lib/R/site-library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -I"/usr/lib/R/site-library/StanHeaders/include" -I"/usr/lib/R/site-library/rstan/include" -I"/usr/lib/R/site-library/BH/include" -I"/usr/lib/R/site-library/Rcpp/include" -I"/usr/lib/R/site-library/RcppEigen/include" -fpic -g -O2 -fdebug-prefix-map=/build/r-base-jbaK_j/r-base-3.6.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g -c stan_files/jm.cc -o stan_files/jm.o In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:392, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:374, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/SparseCore:37, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Sparse:26, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_lpnorm<1, double>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 5>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::TriangularView >, 2>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: recursively required by substitution of ‘template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const Eigen::DenseBase&, const typename ThenDerived::Scalar&) const [with ThenDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:192:76: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10: required from ‘class Eigen::LLT >, 1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: required from ‘struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8: required from ‘struct Eigen::internal::evaluator > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:43:26: required from ‘struct Eigen::internal::traits > >::match > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:199:63: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl >::adj_Op, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:234:77: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21: required from ‘class Eigen::Tridiagonalization >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:225:48: required from ‘void Eigen::DenseBase::transposeInPlace() [with Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17: required from ‘Eigen::Matrix stan::math::to_matrix(const std::vector&, int, int) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Eigen::ArrayBase::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:25: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1, 1, true>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/log.hpp:40:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::log(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/jm.hpp:7287:265: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/sqrt.hpp:32:48: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::sqrt(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/jm.hpp:7334:68: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:69:75: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:390:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 390 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 391 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 392 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/diag_pre_multiply.hpp:18:26: required from ‘Eigen::Matrix::type, R2, C2> stan::math::diag_pre_multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = -1; int C1 = 1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ stan_files/jm.hpp:11923:83: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_vector.hpp:17:50: required from ‘Eigen::Matrix stan::math::to_vector(const Eigen::Matrix&) [with T = double; int R = -1; int C = -1]’ stan_files/jm.hpp:12053:44: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 1>, Eigen::DiagonalWrapper >, 1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/quad_form_diag.hpp:21:33: required from ‘Eigen::Matrix::type, -1, -1> stan::math::quad_form_diag(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/jm.hpp:12177:87: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:110:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1536:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1536 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1591:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1591 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; U = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25: required from ‘static double stan::math::internal::dot_product_vari::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(typename stan::math::internal::dot_product_store_type::type, typename stan::math::internal::dot_product_store_type::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30: required from ‘bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10: required from ‘bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9: required from ‘static void stan::math::internal::finite, true>::check(const char*, const char*, const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:28:13: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/jm.hpp:2937:41: required from ‘Eigen::Matrix::type>::type>::type, -1, 1> model_jm_namespace::make_beta(const Eigen::Matrix&, const int&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const T5__&, const std::vector&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const int&, const T12__&, const std::vector&, std::ostream*) [with T0__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; T8__ = double; T9__ = double; T10__ = double; T12__ = double; T13__ = double; typename boost::math::tools::promote_args::type>::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:11844:53: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:26:28: required from ‘Eigen::Matrix stan::math::segment(const Eigen::Matrix&, size_t, size_t) [with T = double; size_t = long unsigned int]’ stan_files/jm.hpp:279:46: required from ‘Eigen::Matrix::type>::type, -1, 1> model_jm_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:11903:57: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:43:20: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const T2&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/jm.hpp:3247:44: required from ‘Eigen::Matrix::type>::type, -1, 1> model_jm_namespace::evaluate_eta(const Eigen::Matrix&, const std::vector >&, const std::vector >&, const std::vector&, const std::vector&, const std::vector&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const int&, const int&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T5__ = double; T6__ = double; T7__ = double; T8__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:12085:66: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:43: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:58:12: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const T1&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/jm.hpp:10769:56: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23: required from ‘int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor; Scalar = double; XType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from ‘void stan::optimization::BFGSUpdate_HInv::search_direction(stan::optimization::BFGSUpdate_HInv::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/elt_divide.hpp:27:21: required from ‘Eigen::Matrix::type, R, C> stan::math::elt_divide(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/jm.hpp:732:68: required from ‘Eigen::Matrix::type>::type, -1, 1> model_jm_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:2961:50: required from ‘Eigen::Matrix::type>::type>::type, -1, 1> model_jm_namespace::make_beta(const Eigen::Matrix&, const int&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const T5__&, const std::vector&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const int&, const T12__&, const std::vector&, std::ostream*) [with T0__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; T8__ = double; T9__ = double; T10__ = double; T12__ = double; T13__ = double; typename boost::math::tools::promote_args::type>::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:11844:53: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/jm.hpp:12147:79: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:167:9: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:34: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/exp.hpp:41:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::exp(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/jm.hpp:10784:88: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:168:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(const Eigen::Matrix&, const Eigen::Matrix&, stan::math::internal::dot_product_vari*, stan::math::internal::dot_product_vari*) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1; T1 = double; T2 = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:199:14: required from ‘stan::return_type_t stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; int R1 = -1; int C1 = 1; T2 = stan::math::var; int R2 = -1; int C2 = 1; = void; stan::return_type_t = stan::math::var]’ stan_files/jm.hpp:10784:66: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_jm_namespace::model_jm; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/square.hpp:31:50: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::square(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/jm.hpp:725:42: required from ‘Eigen::Matrix::type>::type, -1, 1> model_jm_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:2961:50: required from ‘Eigen::Matrix::type>::type>::type, -1, 1> model_jm_namespace::make_beta(const Eigen::Matrix&, const int&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const T5__&, const std::vector&, const std::vector >&, const std::vector&, const std::vector >&, const std::vector&, const int&, const T12__&, const std::vector&, std::ostream*) [with T0__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; T8__ = double; T9__ = double; T10__ = double; T12__ = double; T13__ = double; typename boost::math::tools::promote_args::type>::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:11844:53: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv.hpp:31:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/jm.hpp:1733:73: required from ‘Eigen::Matrix::type, -1, 1> model_jm_namespace::linkinv_gauss(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:3341:49: required from ‘Eigen::Matrix::type, -1, 1> model_jm_namespace::evaluate_mu(const Eigen::Matrix&, const int&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:12085:53: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv_sqrt.hpp:32:52: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv_sqrt(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/jm.hpp:2026:78: required from ‘Eigen::Matrix::type, -1, 1> model_jm_namespace::linkinv_inv_gaussian(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:3347:56: required from ‘Eigen::Matrix::type, -1, 1> model_jm_namespace::evaluate_mu(const Eigen::Matrix&, const int&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:12085:53: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv_logit.hpp:32:53: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv_logit(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/jm.hpp:1107:79: required from ‘Eigen::Matrix::type, -1, 1> model_jm_namespace::linkinv_bern(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:3350:48: required from ‘Eigen::Matrix::type, -1, 1> model_jm_namespace::evaluate_mu(const Eigen::Matrix&, const int&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:12085:53: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Phi.hpp:31:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::Phi(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/jm.hpp:1110:73: required from ‘Eigen::Matrix::type, -1, 1> model_jm_namespace::linkinv_bern(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:3350:48: required from ‘Eigen::Matrix::type, -1, 1> model_jm_namespace::evaluate_mu(const Eigen::Matrix&, const int&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:12085:53: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/atan.hpp:32:48: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::atan(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/jm.hpp:1113:97: required from ‘Eigen::Matrix::type, -1, 1> model_jm_namespace::linkinv_bern(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:3350:48: required from ‘Eigen::Matrix::type, -1, 1> model_jm_namespace::evaluate_mu(const Eigen::Matrix&, const int&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:12085:53: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv_cloglog.hpp:32:55: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv_cloglog(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/jm.hpp:1119:81: required from ‘Eigen::Matrix::type, -1, 1> model_jm_namespace::linkinv_bern(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:3350:48: required from ‘Eigen::Matrix::type, -1, 1> model_jm_namespace::evaluate_mu(const Eigen::Matrix&, const int&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:12085:53: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:29:50: required from ‘stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with T_covar = double; T_shape = double; stan::return_type_t = double]’ stan_files/jm.hpp:10861:61: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0>, -1, 1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_lpdf.hpp:39:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:29:50: required from ‘stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with T_covar = double; T_shape = double; stan::return_type_t = double]’ stan_files/jm.hpp:10861:61: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0>, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_lpdf.hpp:38:47: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:29:50: required from ‘stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with T_covar = double; T_shape = double; stan::return_type_t = double]’ stan_files/jm.hpp:10861:61: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:222:11: required from ‘double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_jm_namespace::model_jm; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from ‘int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_jm_namespace::model_jm; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3: required from ‘int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:886:18: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>; Rhs = Eigen::Transpose >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:48:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:69:14: required from ‘stan::math::var stan::math::dot_self(const Eigen::Matrix&) [with int R = -1; int C = 1]’ stan_files/jm.hpp:330:117: required from ‘Eigen::Matrix::type>::type, -1, 1> model_jm_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = stan::math::var; T3__ = stan::math::var; T4__ = double; T5__ = stan::math::var; T6__ = stan::math::var; T7__ = stan::math::var; typename boost::math::tools::promote_args::type>::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:9330:57: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_jm_namespace::model_jm; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:191:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:180:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Transpose, -1, -1, false> >, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1846 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:374:28: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:507:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/jm.hpp:12147:79: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:522:47: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:26:28: required from ‘Eigen::Matrix stan::math::segment(const Eigen::Matrix&, size_t, size_t) [with T = double; size_t = long unsigned int]’ stan_files/jm.hpp:279:46: required from ‘Eigen::Matrix::type>::type, -1, 1> model_jm_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/jm.hpp:11903:57: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from ‘Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ stan_files/jm.hpp:11923:65: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:574:9: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix; Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:340:25: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:368, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:246:43: required from ‘Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:168:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(const Eigen::Matrix&, const Eigen::Matrix&, stan::math::internal::dot_product_vari*, stan::math::internal::dot_product_vari*) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1; T1 = double; T2 = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:199:14: required from ‘stan::return_type_t stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; int R1 = -1; int C1 = 1; T2 = stan::math::var; int R2 = -1; int C2 = 1; = void; stan::return_type_t = stan::math::var]’ stan_files/jm.hpp:10784:66: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_jm_namespace::model_jm; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:498, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 60 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 61 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from ‘struct Eigen::internal::evaluator_wrapper_base, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::ArrayWrapper, 0>, -1, 1, false> > >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_log.hpp:29:50: required from ‘stan::return_type_t stan::math::lkj_corr_cholesky_log(const Eigen::Matrix&, const T_shape&) [with T_covar = double; T_shape = double; stan::return_type_t = double]’ stan_files/jm.hpp:10861:61: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:434:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_jm_namespace::model_jm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from ‘Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ stan_files/jm.hpp:11923:65: required from ‘void model_jm_namespace::model_jm::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_jm_namespace::model_jm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_jm_namespace::model_jm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_jm_namespace::model_jm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_jm_namespace::model_jm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_jm_namespace::model_jm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]’ stan_files/jm.hpp:9350:65: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_jm_namespace::model_jm; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_jm_namespace::model_jm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_jm_namespace::model_jm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_jm_namespace::model_jm; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_jm_namespace::model_jm]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:983:11: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]’ stan_files/jm.hpp:9350:65: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_jm_namespace::model_jm; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]’ stan_files/jm.hpp:9350:65: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_jm_namespace::model_jm; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]’ stan_files/jm.hpp:9350:65: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_jm_namespace::model_jm; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]’ stan_files/jm.hpp:9350:65: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_jm_namespace::model_jm; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]’ stan_files/jm.hpp:9350:65: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_jm_namespace::model_jm; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = -1; = void]’ stan_files/jm.hpp:9350:65: required from ‘T__ model_jm_namespace::model_jm::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_jm_namespace::model_jm; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_jm_namespace::model_jm; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/jm.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:965:19: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/jm.hpp:18, from stan_files/jm.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_jm_namespace::model_jm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_jm_namespace::model_jm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_jm_namespace::model_jm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_jm_namespace::model_jm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_jm_namespace::model_jm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:9: required from ‘void stan::math::multiply_mat_vari::chain() [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:107:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_jm_namespace::model_jm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_jm_namespace::model_jm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_jm_namespace::model_jm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_jm_namespace::model_jm; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from stan_files/jm.cc:3: stan_files/jm.hpp: In member function ‘void model_jm_namespace::model_jm::ctor_body(stan::io::var_context&, unsigned int, std::ostream*)’: stan_files/jm.hpp:4724:10: note: variable tracking size limit exceeded with ‘-fvar-tracking-assignments’, retrying without 4724 | void ctor_body(stan::io::var_context& context__, | ^~~~~~~~~ "/usr/lib/R/bin/Rscript" -e "source(file.path('..', 'tools', 'make_cc.R')); make_cc(commandArgs(TRUE))" stan_files/bernoulli.stan Wrote C++ file "stan_files/bernoulli.cc" g++ -std=gnu++14 -I"/usr/share/R/include" -DNDEBUG -I"../inst/include" -I"/usr/lib/R/site-library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -I"/usr/lib/R/site-library/StanHeaders/include" -I"/usr/lib/R/site-library/rstan/include" -I"/usr/lib/R/site-library/BH/include" -I"/usr/lib/R/site-library/Rcpp/include" -I"/usr/lib/R/site-library/RcppEigen/include" -fpic -g -O2 -fdebug-prefix-map=/build/r-base-jbaK_j/r-base-3.6.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g -c stan_files/bernoulli.cc -o stan_files/bernoulli.o In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:392, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:374, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/SparseCore:37, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Sparse:26, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_lpnorm<1, double>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 5>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::TriangularView >, 2>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: recursively required by substitution of ‘template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const Eigen::DenseBase&, const typename ThenDerived::Scalar&) const [with ThenDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:192:76: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10: required from ‘class Eigen::LLT >, 1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: required from ‘struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8: required from ‘struct Eigen::internal::evaluator > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:43:26: required from ‘struct Eigen::internal::traits > >::match > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:199:63: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl >::adj_Op, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:234:77: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21: required from ‘class Eigen::Tridiagonalization >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:225:48: required from ‘void Eigen::DenseBase::transposeInPlace() [with Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17: required from ‘Eigen::Matrix stan::math::to_matrix(const std::vector&, int, int) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Eigen::ArrayBase::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:25: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1, 1, true>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:69:75: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:390:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 390 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 391 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 392 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:28:13: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/bernoulli.hpp:3944:45: required from ‘void model_bernoulli_namespace::model_bernoulli::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:43:20: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const T2&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/bernoulli.hpp:4231:49: required from ‘void model_bernoulli_namespace::model_bernoulli::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:110:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1536:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1536 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1591:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1591 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; U = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25: required from ‘static double stan::math::internal::dot_product_vari::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(typename stan::math::internal::dot_product_store_type::type, typename stan::math::internal::dot_product_store_type::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30: required from ‘bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10: required from ‘bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9: required from ‘static void stan::math::internal::finite, true>::check(const char*, const char*, const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:58:12: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const T1&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/bernoulli.hpp:652:95: required from ‘Eigen::Matrix::type>::type, -1, 1> model_bernoulli_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:3968:54: required from ‘void model_bernoulli_namespace::model_bernoulli::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/elt_divide.hpp:27:21: required from ‘Eigen::Matrix::type, R, C> stan::math::elt_divide(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/bernoulli.hpp:652:68: required from ‘Eigen::Matrix::type>::type, -1, 1> model_bernoulli_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:3968:54: required from ‘void model_bernoulli_namespace::model_bernoulli::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/sqrt.hpp:32:48: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::sqrt(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/bernoulli.hpp:3995:113: required from ‘void model_bernoulli_namespace::model_bernoulli::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:26:28: required from ‘Eigen::Matrix stan::math::segment(const Eigen::Matrix&, size_t, size_t) [with T = double; size_t = long unsigned int]’ stan_files/bernoulli.hpp:199:46: required from ‘Eigen::Matrix::type>::type, -1, 1> model_bernoulli_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:4099:61: required from ‘void model_bernoulli_namespace::model_bernoulli::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:43: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23: required from ‘int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor; Scalar = double; XType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from ‘void stan::optimization::BFGSUpdate_HInv::search_direction(stan::optimization::BFGSUpdate_HInv::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:86:53: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:90:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:90:21: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, 0, Eigen::Stride<0, 0> > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:90:53: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:94:22: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:94:12: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:100:65: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseUnaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseUnaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:101:14: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseUnaryOp, const Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseUnaryOp, const Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseUnaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:101:14: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:120:61: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:121:39: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:115:43: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::ArrayWrapper >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:115:43: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:123:57: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:127:27: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:127:11: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/square.hpp:31:50: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::square(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/bernoulli.hpp:645:42: required from ‘Eigen::Matrix::type>::type, -1, 1> model_bernoulli_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:3968:54: required from ‘void model_bernoulli_namespace::model_bernoulli::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/bernoulli.hpp:4157:79: required from ‘void model_bernoulli_namespace::model_bernoulli::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv_logit.hpp:32:53: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv_logit(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/bernoulli.hpp:1027:79: required from ‘Eigen::Matrix::type, -1, 1> model_bernoulli_namespace::linkinv_bern(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:4312:57: required from ‘void model_bernoulli_namespace::model_bernoulli::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Phi.hpp:31:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::Phi(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/bernoulli.hpp:1030:73: required from ‘Eigen::Matrix::type, -1, 1> model_bernoulli_namespace::linkinv_bern(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:4312:57: required from ‘void model_bernoulli_namespace::model_bernoulli::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/atan.hpp:32:48: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::atan(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/bernoulli.hpp:1033:97: required from ‘Eigen::Matrix::type, -1, 1> model_bernoulli_namespace::linkinv_bern(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:4312:57: required from ‘void model_bernoulli_namespace::model_bernoulli::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/exp.hpp:41:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::exp(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/bernoulli.hpp:1036:85: required from ‘Eigen::Matrix::type, -1, 1> model_bernoulli_namespace::linkinv_bern(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:4312:57: required from ‘void model_bernoulli_namespace::model_bernoulli::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv_cloglog.hpp:32:55: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv_cloglog(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/bernoulli.hpp:1039:81: required from ‘Eigen::Matrix::type, -1, 1> model_bernoulli_namespace::linkinv_bern(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:4312:57: required from ‘void model_bernoulli_namespace::model_bernoulli::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:167:9: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:34: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:168:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(const Eigen::Matrix&, const Eigen::Matrix&, stan::math::internal::dot_product_vari*, stan::math::internal::dot_product_vari*) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1; T1 = double; T2 = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:199:14: required from ‘stan::return_type_t stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; int R1 = -1; int C1 = 1; T2 = stan::math::var; int R2 = -1; int C2 = 1; = void; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3409:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:150:10: required from ‘Eigen::Matrix stan::math::append_row(const Eigen::Matrix&, const Eigen::Matrix&) [with T = double; int R1 = -1; int R2 = -1]’ stan_files/bernoulli.hpp:3356:124: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::log1m_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::log1m_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::log1m_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::log1m_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::log1m_exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stan_files/bernoulli.hpp:1103:37: required from ‘typename boost::math::tools::promote_args::type model_bernoulli_namespace::ll_bern_lp(const Eigen::Matrix&, const Eigen::Matrix&, const int&, const std::vector&, T_lp__&, T_lp_accum__&, std::ostream*) [with T0__ = double; T1__ = double; T_lp__ = double; T_lp_accum__ = stan::math::accumulator; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:3497:56: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:222:11: required from ‘double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_bernoulli_namespace::model_bernoulli; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from ‘int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_bernoulli_namespace::model_bernoulli; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3: required from ‘int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:886:18: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::log1p_fun; T = Eigen::Array; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::log1p_fun; T = Eigen::Array; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase::apply(const T&) [with F = stan::math::log1p_fun; T = Eigen::Array; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::log1p_fun; T = Eigen::Array; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::log1p_fun; T = Eigen::Array; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:104:59: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>; Rhs = Eigen::Transpose >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:48:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:69:14: required from ‘stan::math::var stan::math::dot_self(const Eigen::Matrix&) [with int R = -1; int C = 1]’ stan_files/bernoulli.hpp:250:117: required from ‘Eigen::Matrix::type>::type, -1, 1> model_bernoulli_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = double; T3__ = stan::math::var; T4__ = double; T5__ = stan::math::var; T6__ = stan::math::var; T7__ = stan::math::var; typename boost::math::tools::promote_args::type>::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:3290:61: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:42: required from ‘double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix&) [with int R = -1; int C = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stan_files/bernoulli.hpp:1248:81: required from ‘typename boost::math::tools::promote_args::type model_bernoulli_namespace::log_clogit_denom(const int&, const int&, const Eigen::Matrix&, std::ostream*) [with T2__ = stan::math::var; typename boost::math::tools::promote_args::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:1372:41: required from ‘typename boost::math::tools::promote_args::type model_bernoulli_namespace::ll_clogit_lp(const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const std::vector&, const std::vector&, T_lp__&, T_lp_accum__&, std::ostream*) [with T0__ = stan::math::var; T1__ = stan::math::var; T_lp__ = stan::math::var; T_lp_accum__ = stan::math::accumulator; typename boost::math::tools::promote_args::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:3486:58: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >::val_Op, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >::val_Op, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >::val_Op, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >::val_Op, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >::val_Op, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:42: required from ‘double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix&) [with int R = -1; int C = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stan_files/bernoulli.hpp:1248:81: required from ‘typename boost::math::tools::promote_args::type model_bernoulli_namespace::log_clogit_denom(const int&, const int&, const Eigen::Matrix&, std::ostream*) [with T2__ = stan::math::var; typename boost::math::tools::promote_args::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:1372:41: required from ‘typename boost::math::tools::promote_args::type model_bernoulli_namespace::ll_clogit_lp(const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const std::vector&, const std::vector&, T_lp__&, T_lp_accum__&, std::ostream*) [with T0__ = stan::math::var; T1__ = stan::math::var; T_lp__ = stan::math::var; T_lp_accum__ = stan::math::accumulator; typename boost::math::tools::promote_args::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:3486:58: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >::val_Op, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >::val_Op, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >::val_Op, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >::val_Op, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >::val_Op, const Eigen::Matrix > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:26:55: required from ‘double stan::math::internal::log_sum_exp_as_double(const Eigen::Matrix&) [with int R = -1; int C = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:33:45: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stan_files/bernoulli.hpp:1248:81: required from ‘typename boost::math::tools::promote_args::type model_bernoulli_namespace::log_clogit_denom(const int&, const int&, const Eigen::Matrix&, std::ostream*) [with T2__ = stan::math::var; typename boost::math::tools::promote_args::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:1372:41: required from ‘typename boost::math::tools::promote_args::type model_bernoulli_namespace::ll_clogit_lp(const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const std::vector&, const std::vector&, T_lp__&, T_lp_accum__&, std::ostream*) [with T0__ = stan::math::var; T1__ = stan::math::var; T_lp__ = stan::math::var; T_lp_accum__ = stan::math::accumulator; typename boost::math::tools::promote_args::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:3486:58: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:191:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:180:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Transpose, -1, -1, false> >, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1846 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:374:28: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:507:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/bernoulli.hpp:4157:79: required from ‘void model_bernoulli_namespace::model_bernoulli::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:522:47: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/segment.hpp:26:28: required from ‘Eigen::Matrix stan::math::segment(const Eigen::Matrix&, size_t, size_t) [with T = double; size_t = long unsigned int]’ stan_files/bernoulli.hpp:199:46: required from ‘Eigen::Matrix::type>::type, -1, 1> model_bernoulli_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = double; T3__ = double; T4__ = double; T5__ = double; T6__ = double; T7__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:4099:61: required from ‘void model_bernoulli_namespace::model_bernoulli::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:574:9: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix; Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/log_sum_exp.hpp:31:24: required from ‘double stan::math::log_sum_exp(const Eigen::Matrix&) [with int R = -1; int C = 1]’ stan_files/bernoulli.hpp:1248:81: required from ‘typename boost::math::tools::promote_args::type model_bernoulli_namespace::log_clogit_denom(const int&, const int&, const Eigen::Matrix&, std::ostream*) [with T2__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:1372:41: required from ‘typename boost::math::tools::promote_args::type model_bernoulli_namespace::ll_clogit_lp(const Eigen::Matrix&, const Eigen::Matrix&, const std::vector&, const std::vector&, const std::vector&, T_lp__&, T_lp_accum__&, std::ostream*) [with T0__ = double; T1__ = double; T_lp__ = double; T_lp_accum__ = stan::math::accumulator; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/bernoulli.hpp:3486:58: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:340:25: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:368, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:246:43: required from ‘Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:168:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(const Eigen::Matrix&, const Eigen::Matrix&, stan::math::internal::dot_product_vari*, stan::math::internal::dot_product_vari*) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1; T1 = double; T2 = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:199:14: required from ‘stan::return_type_t stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; int R1 = -1; int C1 = 1; T2 = stan::math::var; int R2 = -1; int C2 = 1; = void; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3409:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from ‘void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:499:3: required from ‘Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:498, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 60 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 61 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:150:10: required from ‘Eigen::Matrix stan::math::append_row(const Eigen::Matrix&, const Eigen::Matrix&) [with T = double; int R1 = -1; int R2 = -1]’ stan_files/bernoulli.hpp:3356:124: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:25: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_lpmf.hpp:92:47: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_lpmf(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with bool propto = false; T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/bernoulli_logit_glm_log.hpp:27:41: required from ‘stan::return_type_t stan::math::bernoulli_logit_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&) [with T_y = std::vector; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/bernoulli.hpp:3360:55: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:434:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bernoulli_namespace::model_bernoulli; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bernoulli_namespace::model_bernoulli; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bernoulli_namespace::model_bernoulli; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bernoulli_namespace::model_bernoulli; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bernoulli_namespace::model_bernoulli; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bernoulli_namespace::model_bernoulli; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/bernoulli.hpp:3384:58: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from ‘void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:499:3: required from ‘Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bernoulli_namespace::model_bernoulli; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bernoulli_namespace::model_bernoulli; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_bernoulli_namespace::model_bernoulli; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_bernoulli_namespace::model_bernoulli]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:983:11: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/bernoulli.hpp:3384:58: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/bernoulli.hpp:3384:58: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/bernoulli.hpp:3384:58: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/bernoulli.hpp:3384:58: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/bernoulli.hpp:3384:58: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/bernoulli.hpp:3384:58: required from ‘T__ model_bernoulli_namespace::model_bernoulli::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_bernoulli_namespace::model_bernoulli; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_bernoulli_namespace::model_bernoulli; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/bernoulli.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:965:19: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/bernoulli.hpp:18, from stan_files/bernoulli.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_bernoulli_namespace::model_bernoulli; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bernoulli_namespace::model_bernoulli; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bernoulli_namespace::model_bernoulli; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_bernoulli_namespace::model_bernoulli; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bernoulli_namespace::model_bernoulli; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:9: required from ‘void stan::math::multiply_mat_vari::chain() [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:107:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bernoulli_namespace::model_bernoulli; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bernoulli_namespace::model_bernoulli; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bernoulli_namespace::model_bernoulli; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_bernoulli_namespace::model_bernoulli; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] "/usr/lib/R/bin/Rscript" -e "source(file.path('..', 'tools', 'make_cc.R')); make_cc(commandArgs(TRUE))" stan_files/polr.stan Wrote C++ file "stan_files/polr.cc" g++ -std=gnu++14 -I"/usr/share/R/include" -DNDEBUG -I"../inst/include" -I"/usr/lib/R/site-library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -I"/usr/lib/R/site-library/StanHeaders/include" -I"/usr/lib/R/site-library/rstan/include" -I"/usr/lib/R/site-library/BH/include" -I"/usr/lib/R/site-library/Rcpp/include" -I"/usr/lib/R/site-library/RcppEigen/include" -fpic -g -O2 -fdebug-prefix-map=/build/r-base-jbaK_j/r-base-3.6.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g -c stan_files/polr.cc -o stan_files/polr.o In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:392, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:374, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/SparseCore:37, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Sparse:26, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_lpnorm<1, double>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 5>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::TriangularView >, 2>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: recursively required by substitution of ‘template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const Eigen::DenseBase&, const typename ThenDerived::Scalar&) const [with ThenDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:192:76: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10: required from ‘class Eigen::LLT >, 1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: required from ‘struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8: required from ‘struct Eigen::internal::evaluator > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:43:26: required from ‘struct Eigen::internal::traits > >::match > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:199:63: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl >::adj_Op, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:234:77: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21: required from ‘class Eigen::Tridiagonalization >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:225:48: required from ‘void Eigen::DenseBase::transposeInPlace() [with Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17: required from ‘Eigen::Matrix stan::math::to_matrix(const std::vector&, int, int) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Eigen::ArrayBase::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:25: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1, 1, true>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:69:75: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:390:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 390 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 391 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 392 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:43:20: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const T2&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/polr.hpp:1470:45: required from ‘void model_polr_namespace::model_polr::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:28:13: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/polr.hpp:1506:44: required from ‘void model_polr_namespace::model_polr::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:110:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1536:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1536 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1591:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1591 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; U = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25: required from ‘static double stan::math::internal::dot_product_vari::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(typename stan::math::internal::dot_product_store_type::type, typename stan::math::internal::dot_product_store_type::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30: required from ‘bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10: required from ‘bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9: required from ‘static void stan::math::internal::finite, true>::check(const char*, const char*, const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:43: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23: required from ‘int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor; Scalar = double; XType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from ‘void stan::optimization::BFGSUpdate_HInv::search_direction(stan::optimization::BFGSUpdate_HInv::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/polr.hpp:1470:68: required from ‘void model_polr_namespace::model_polr::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:167:9: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:34: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:168:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(const Eigen::Matrix&, const Eigen::Matrix&, stan::math::internal::dot_product_vari*, stan::math::internal::dot_product_vari*) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1; T1 = double; T2 = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:199:14: required from ‘stan::return_type_t stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; int R1 = -1; int C1 = 1; T2 = stan::math::var; int R2 = -1; int C2 = 1; = void; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1226:51: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_sum, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:88:18: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:89:12: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:93:46: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:94:15: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:97:22: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:102:42: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:102:17: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >, -1, 1, true, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:111:15: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::ArrayWrapper > >, -1, 1, true, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::ArrayWrapper > >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::Block, const Eigen::ArrayWrapper > >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::Block, const Eigen::ArrayWrapper > >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::Block, const Eigen::ArrayWrapper > >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::Block, const Eigen::ArrayWrapper > >, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::Block, const Eigen::ArrayWrapper > >, -1, 1, true> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:111:51: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::Block, const Eigen::ArrayWrapper > >, -1, 1, true> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::Block, const Eigen::ArrayWrapper > >, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::Block, const Eigen::ArrayWrapper > >, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:140:7: required from ‘class Eigen::MatrixWrapper, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::Block, const Eigen::ArrayWrapper > >, -1, 1, true> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:110:11: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stan_files/polr.hpp:221:81: required from ‘Eigen::Matrix::type, -1, 1> model_polr_namespace::pw_polr(const std::vector&, const Eigen::Matrix&, const Eigen::Matrix&, const int&, const T4__&, std::ostream*) [with T1__ = double; T2__ = double; T4__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/polr.hpp:1216:47: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:222:11: required from ‘double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_polr_namespace::model_polr; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from ‘int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_polr_namespace::model_polr; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3: required from ‘int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:886:18: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>; Rhs = Eigen::Transpose >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]::, Eigen::internal::member_sum, 0> >::scalar_t)>, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]::, Eigen::internal::member_sum, 0> >::scalar_t)>, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]::, Eigen::internal::member_sum, 0> >::scalar_t)>, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]::, Eigen::internal::member_sum, 0> >::scalar_t)>, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]::, Eigen::internal::member_sum, 0> >::scalar_t)>, const Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::PartialReduxExpr, Eigen::internal::member_sum, 0>; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/lgamma.hpp:34:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::lgamma_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/lgamma.hpp:34:50: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::digamma_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/digamma.hpp:34:51: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:191:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:180:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Transpose, -1, -1, false> >, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1846 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:374:28: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:507:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:48:32: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/unit_vector_constrain.hpp:50:18: required from ‘Eigen::Matrix stan::math::unit_vector_constrain(const Eigen::Matrix&, T&) [with T = stan::math::var; int R = -1; int C = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/io/reader.hpp:845:45: required from ‘stan::io::reader::vector_t stan::io::reader::unit_vector_constrain(size_t, T&) [with T = stan::math::var; stan::io::reader::vector_t = Eigen::Matrix; size_t = long unsigned int]’ stan_files/polr.hpp:1083:21: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/polr.hpp:1470:68: required from ‘void model_polr_namespace::model_polr::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:522:47: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:110:22: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with bool propto = false; T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:574:9: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix; Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >, -1, 1, true>; Functor = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >, -1, 1, true>; Func = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Matrix; Src = Eigen::Block, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::ArrayWrapper > > >, -1, 1, true>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Dest = Eigen::Block, -1, 1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Transpose, 1, -1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:340:25: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:368, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:246:43: required from ‘Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:168:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(const Eigen::Matrix&, const Eigen::Matrix&, stan::math::internal::dot_product_vari*, stan::math::internal::dot_product_vari*) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1; T1 = double; T2 = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:199:14: required from ‘stan::return_type_t stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; int R1 = -1; int C1 = 1; T2 = stan::math::var; int R2 = -1; int C2 = 1; = void; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1226:51: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::ArrayWrapper > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::Block, const Eigen::ArrayWrapper > >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::Block, const Eigen::ArrayWrapper > >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from ‘struct Eigen::internal::evaluator_wrapper_base, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::Block, const Eigen::ArrayWrapper > >, -1, 1, true> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1405:8: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper, -1, 1, true> > >, const Eigen::Block, const Eigen::ArrayWrapper > >, -1, 1, true> > >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from ‘void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:499:3: required from ‘Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:498, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 60 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 61 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:258:13: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, -1, 1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: required from ‘ExpressionType& Eigen::NoAlias::operator=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>; ExpressionType = Eigen::Map, 0, Eigen::Stride<0, 0> >; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:19: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:434:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_polr_namespace::model_polr; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, -1, 1, true>; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = Eigen::Matrix; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:713:74: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_lpmf.hpp:120:31: required from ‘stan::return_type_t stan::math::dirichlet_lpmf(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/dirichlet_log.hpp:43:46: required from ‘stan::return_type_t stan::math::dirichlet_log(const T_prob&, const T_prior_size&) [with T_prob = Eigen::Matrix; T_prior_size = Eigen::Matrix; stan::return_type_t = stan::math::var]’ stan_files/polr.hpp:1237:45: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:39:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_polr_namespace::model_polr; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_polr_namespace::model_polr; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_polr_namespace::model_polr; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_polr_namespace::model_polr; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:73: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_polr_namespace::model_polr; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_polr_namespace::model_polr; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/polr.hpp:1191:57: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, 1, true>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, 1, true>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, -1, -1, false>, -1, 1, true>; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:164:9: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from ‘void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:499:3: required from ‘Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:5: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_polr_namespace::model_polr; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_polr_namespace::model_polr; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/run_adaptive_sampler.hpp:52:5: required from ‘void stan::services::util::run_adaptive_sampler(Sampler&, Model&, std::vector&, int, int, int, int, bool, RNG&, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Sampler = stan::mcmc::adapt_dense_e_nuts, boost::random::linear_congruential_engine > >; Model = model_polr_namespace::model_polr; RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:99:29: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/sample/hmc_nuts_dense_e_adapt.hpp:152:32: required from ‘int stan::services::sample::hmc_nuts_dense_e_adapt(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, bool, int, double, double, int, double, double, double, double, unsigned int, unsigned int, unsigned int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_polr_namespace::model_polr]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:624:37: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:983:11: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/polr.hpp:1191:57: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/polr.hpp:1191:57: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/polr.hpp:1191:57: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/polr.hpp:1191:57: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/polr.hpp:1191:57: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/polr.hpp:1191:57: required from ‘T__ model_polr_namespace::model_polr::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_polr_namespace::model_polr; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_polr_namespace::model_polr; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/polr.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:965:19: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/polr.hpp:18, from stan_files/polr.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_polr_namespace::model_polr; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_polr_namespace::model_polr; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_polr_namespace::model_polr; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_polr_namespace::model_polr; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_polr_namespace::model_polr; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_polr_namespace::model_polr; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_polr_namespace::model_polr; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_polr_namespace::model_polr; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_polr_namespace::model_polr; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] "/usr/lib/R/bin/Rscript" -e "source(file.path('..', 'tools', 'make_cc.R')); make_cc(commandArgs(TRUE))" stan_files/continuous.stan Wrote C++ file "stan_files/continuous.cc" g++ -std=gnu++14 -I"/usr/share/R/include" -DNDEBUG -I"../inst/include" -I"/usr/lib/R/site-library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -I"/usr/lib/R/site-library/StanHeaders/include" -I"/usr/lib/R/site-library/rstan/include" -I"/usr/lib/R/site-library/BH/include" -I"/usr/lib/R/site-library/Rcpp/include" -I"/usr/lib/R/site-library/RcppEigen/include" -fpic -g -O2 -fdebug-prefix-map=/build/r-base-jbaK_j/r-base-3.6.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g -c stan_files/continuous.cc -o stan_files/continuous.o In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:392, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:60:39: warning: ignoring attributes on template argument ‘__m128’ {aka ‘__vector(4) float’} [-Wignored-attributes] 60 | template<> struct is_arithmetic<__m128> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:61:40: warning: ignoring attributes on template argument ‘__m128i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 61 | template<> struct is_arithmetic<__m128i> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:62:40: warning: ignoring attributes on template argument ‘__m128d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 62 | template<> struct is_arithmetic<__m128d> { enum { value = true }; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:161:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 161 | template<> struct unpacket_traits { typedef float type; enum {size=4, alignment=Aligned16}; typedef Packet4f half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:162:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 162 | template<> struct unpacket_traits { typedef double type; enum {size=2, alignment=Aligned16}; typedef Packet2d half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:163:43: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 163 | template<> struct unpacket_traits { typedef int type; enum {size=4, alignment=Aligned16}; typedef Packet4i half; }; | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:718:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 718 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:741:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 741 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:764:35: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 764 | struct palign_impl | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:778:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 778 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:783:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 783 | ptranspose(PacketBlock& kernel) { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/PacketMath.h:790:34: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4i’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 790 | ptranspose(PacketBlock& kernel) { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:374, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet4f’ {aka ‘__vector(4) float’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:232:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 232 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet2cf,Packet4f) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:15:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 15 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/Default/ConjHelper.h:22:70: warning: ignoring attributes on template argument ‘Eigen::internal::Packet2d’ {aka ‘__vector(2) double’} [-Wignored-attributes] 22 | template<> struct conj_helper { \ | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/arch/SSE/Complex.h:417:1: note: in expansion of macro ‘EIGEN_MAKE_CONJ_HELPER_CPLX_REAL’ 417 | EIGEN_MAKE_CONJ_HELPER_CPLX_REAL(Packet1cd,Packet2d) | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:24:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(4) float>::half’ {aka ‘__vector(4) float’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:27:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(4) float’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:224:7: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:88:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:46:50: required from ‘class Eigen::QuaternionBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/Quaternion.h:232:7: required from ‘class Eigen::Quaternion’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Geometry/arch/Geometry_SSE.h:92:3: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/SparseCore:37, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Sparse:26, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:14, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h: In instantiation of ‘class Eigen::SparseMatrixBase >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseCompressedBase.h:36:7: required from ‘class Eigen::SparseCompressedBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrix.h:96:7: required from ‘class Eigen::SparseMatrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/IterativeSolvers/ConstrainedConjGrad.h:61:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/SparseCore/SparseMatrixBase.h:47:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 47 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) long long int>::half’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:168:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:178:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/unsupported/Eigen/src/KroneckerProduct/KroneckerTensorProduct.h:179:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/typedefs.hpp:11:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:20:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/meta/operands_and_partials.hpp:23:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper, 0> >, const Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:38:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:30:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1, 1, true>, -1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::internal::member_lpnorm<1, double>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::internal::member_lpnorm<1, double>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, true>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Matrix, 0>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:70:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:113:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:23:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_row_vector.hpp:30:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:13:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:26:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:27:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:28:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_covar_estimator.hpp:37:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/welford_var_estimator.hpp:28:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/categorical_logit_glm_lpmf.hpp:134:15: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:44:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 5>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 5>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 5>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Product, 5>, Eigen::Matrix, 0>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:52:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 1>, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/gaussian_dlm_obs_rng.hpp:89:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::TriangularView >, 2>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::TriangularView >, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::TriangularView >, 2>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::TriangularView >, 2>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::TriangularView >, 2>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/wishart_rng.hpp:32:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/inv_wishart_rng.hpp:27:40: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Array.h:45:7: required from ‘class Eigen::Array’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/lkj_corr_cholesky_rng.hpp:24:17: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:98:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:64: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: recursively required by substitution of ‘template const Eigen::internal::triangular_solve_retval >, 6>, Other> Eigen::TriangularViewImpl >, 6, Eigen::Dense>::solve(const Eigen::MatrixBase&) const [with int Side = ; Other = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:118:76: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/ForwardDeclarations.h:32:54: required from ‘struct Eigen::internal::accessors_level >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:119:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product > >, Eigen::Transpose >, 6>, Eigen::Transpose >, 6>, Eigen::Matrix > > > >, 2>, Eigen::Transpositions<-1, -1, int>, 2>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/matrix_normal_prec_rng.hpp:120:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_cholesky_rng.hpp:70:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/multi_normal_prec_rng.hpp:83:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, ThenDerived, typename ThenDerived::ConstantReturnType> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const Eigen::DenseBase&, const typename ThenDerived::Scalar&) const [with ThenDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:37: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:125:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:127:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:134:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:137:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:34: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: recursively required by substitution of ‘template const Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:138:52: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::Select, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::Array, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::Array, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >, const Eigen::ArrayWrapper > >, const Eigen::CwiseBinaryOp, const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::CwiseNullaryOp, Eigen::Array > >, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:139:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:77: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:78: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: recursively required by substitution of ‘template const Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, typename ElseDerived::ConstantReturnType, ElseDerived> Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array > >::select(const typename ElseDerived::Scalar&, const Eigen::DenseBase&) const [with ElseDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:161:79: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Select.h:52:7: required from ‘class Eigen::Select, const Eigen::CwiseNullaryOp, Eigen::Array >, const Eigen::Array >, Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:162:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:164:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/ordered_logistic_glm_lpmf.hpp:166:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:6: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:107:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:109:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:148:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 2>, Eigen::Transpose, -1, -1, false> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:149:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1, -1, false>, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:156:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:192:76: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:60:10: required from ‘class Eigen::LLT >, 1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: required from ‘struct Eigen::internal::mapbase_evaluator, 0, Eigen::OuterStride<> >, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:896:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:936:8: required from ‘struct Eigen::internal::evaluator > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:43:26: required from ‘struct Eigen::internal::traits > >::match > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:199:63: required by substitution of ‘template Eigen::Ref >::Ref(const Eigen::DenseBase&, typename Eigen::internal::enable_if<(bool)(Eigen::internal::traits > >::match::MatchAtCompileTime), Derived>::type*) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:67:33: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:72:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:44:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:41:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:18: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/determinant.hpp:42:29: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl >::adj_Op, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/grad.hpp:28:13: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:43:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:39: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:43: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_determinant_spd.hpp:38:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::val_Op, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl >::val_Op, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:68:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:74:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:25: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper > >::val_Op, Eigen::Map > > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_sum_exp.hpp:36:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:103:20: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:32: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:197:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:205:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >::adj_Op, Eigen::Map > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::adj_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:38:28: required from ‘struct Eigen::internal::traits, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:550:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:119:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left.hpp:171:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/mdivide_left_tri.hpp:107:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Map > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Map >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:33:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:42:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:35: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:31:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:49:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:58:34: required from ‘class Eigen::RefBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Ref.h:234:77: required from ‘class Eigen::Ref >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:67:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >, const Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:68:9: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:72: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/squared_distance.hpp:86:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView > >::val_Op, Eigen::Ref > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sum.hpp:21:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:28:41: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/trace_inv_quad_form_ldlt.hpp:59:23: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/variance.hpp:27:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:96:21: required from ‘class Eigen::Tridiagonalization >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:105:62: required from ‘class Eigen::SelfAdjointEigenSolver >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:38: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/covar_adaptation.hpp:29:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: recursively required by substitution of ‘template typename Eigen::ScalarBinaryOpTraits::Scalar, Eigen::internal::scalar_product_op::Scalar> >::ReturnType Eigen::MatrixBase >::dot(const Eigen::MatrixBase&) const [with OtherDerived = ]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:27:31: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/var_adaptation.hpp:28:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:182:63: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:183:67: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:197:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:198:65: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:263:19: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:351:30: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:22: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:60: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper, 0> > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:459:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:56: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:314:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:370:75: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: required from ‘class Eigen::MapBase, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:225:48: required from ‘void Eigen::DenseBase::transposeInPlace() [with Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:104:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:44: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:78:52: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::LLT<_MatrixType>&) [with Derived = Eigen::Ref >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:405:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:40:61: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_matrix.hpp:122:17: required from ‘Eigen::Matrix stan::math::to_matrix(const std::vector&, int, int) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/read_dense_inv_metric.hpp:33:74: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Array >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, Eigen::Array > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Array >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:27:67: required from ‘Derived& Eigen::ArrayBase::operator+=(const Scalar&) [with Derived = Eigen::ArrayWrapper >; Eigen::ArrayBase::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_fullrank.hpp:280:24: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:26:12: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tail.hpp:30:18: required from ‘Eigen::Matrix stan::math::tail(const Eigen::Matrix&, size_t) [with T = double; size_t = long unsigned int]’ stan_files/continuous.hpp:3793:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/transpose.hpp:11:22: required from ‘Eigen::Matrix stan::math::transpose(const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]’ stan_files/continuous.hpp:3807:97: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:13: required from ‘Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = 1; int C1 = -1; int R2 = -1; int C2 = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ stan_files/continuous.hpp:3807:101: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/transpose.hpp:11:22: required from ‘Eigen::Matrix stan::math::transpose(const Eigen::Matrix&) [with T = double; int R = 1; int C = -1]’ stan_files/continuous.hpp:3807:117: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:25: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:39: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, -1, 1, true>, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, 1, true>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, -1, 1, true>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:65: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:97: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl >, 1, -1, false>, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, 1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock >, 1, -1, false>, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:116: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:22: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/softmax.hpp:50:9: required from ‘Eigen::Matrix stan::math::softmax(const Eigen::Matrix&) [with T = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:35:21: required from ‘Eigen::VectorXd stan::math::internal::softmax_op::operator()(const std::array&, const VectorXd&) [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:415:70: required from ‘auto stan::math::adj_jac_vari::operator()(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:621:15: required from ‘auto stan::math::adj_jac_apply(const Targs& ...) [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:77:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:37: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::log_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/log.hpp:40:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::log(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/continuous.hpp:3630:117: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/sqrt.hpp:32:48: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::sqrt(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/continuous.hpp:3768:62: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:20:67: required from ‘Derived& Eigen::DenseBase::operator*=(const Scalar&) [with Derived = Eigen::Block, 1, -1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:32:16: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:493:38: required from ‘struct Eigen::internal::cast_return_type, Eigen::Matrix >, const Eigen::CwiseUnaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:48:179: required from ‘struct Eigen::MatrixBase, Eigen::Matrix > >::CastXpr’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/../plugins/CommonCwiseUnaryOps.h:62:1: required by substitution of ‘template typename Eigen::MatrixBase, Eigen::Matrix > >::CastXpr::Type Eigen::MatrixBase, Eigen::Matrix > >::cast() const [with NewType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:359:9: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_Q.hpp:26:34: required from ‘Eigen::Matrix stan::math::qr_thin_Q(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3801:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Transpose > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, 2>, Eigen::Transpose >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, 2>, Eigen::Transpose > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right_tri.hpp:76:10: required from ‘Eigen::Matrix stan::math::mdivide_right_tri(const Eigen::Matrix&, const Eigen::Matrix&) [with Eigen::UpLoType TriView = Eigen::Lower; int R1 = 1; int C1 = -1; int R2 = -1; int C2 = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right_tri_low.hpp:24:41: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right_tri_low(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = 1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ stan_files/continuous.hpp:3807:116: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 2>, Eigen::Transpose > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 2>, Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 2>, Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 2>, Eigen::Transpose > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 2>, Eigen::Transpose > > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right_tri.hpp:76:20: required from ‘Eigen::Matrix stan::math::mdivide_right_tri(const Eigen::Matrix&, const Eigen::Matrix&) [with Eigen::UpLoType TriView = Eigen::Lower; int R1 = 1; int C1 = -1; int R2 = -1; int C2 = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right_tri_low.hpp:24:41: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right_tri_low(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = 1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ stan_files/continuous.hpp:3807:116: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘class Eigen::internal::gebp_traits’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:69:75: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:390:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 390 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:391:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 391 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:392:73: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 392 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: required from ‘class Eigen::VectorBlock, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:27: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:28:13: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/continuous.hpp:6006:45: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:43:20: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const Eigen::Matrix&, const T2&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/continuous.hpp:6406:52: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Transpose, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, -1, false>, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gebp_kernel::operator()(const DataMapper&, const LhsScalar*, const RhsScalar*, Index, Index, Index, Eigen::internal::gebp_kernel::ResScalar, Index, Index, Index, Index) [with LhsScalar = double; RhsScalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int mr = 4; int nr = 4; bool ConjugateLhs = false; bool ConjugateRhs = false; Eigen::internal::gebp_kernel::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:110:15: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1536:21: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1536 | const int SResPacketHalfSize = unpacket_traits::half>::size; | ^~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1591:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1591 | typedef typename conditional=8,typename unpacket_traits::half,SResPacket>::type SResPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1592:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1592 | typedef typename conditional=8,typename unpacket_traits::half,SLhsPacket>::type SLhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1593:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1593 | typedef typename conditional=8,typename unpacket_traits::half,SRhsPacket>::type SRhsPacketHalf; | ^~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1594:135: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1594 | typedef typename conditional=8,typename unpacket_traits::half,SAccPacket>::type SAccPacketHalf; | ^~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:151:52: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, 0, Eigen::Stride<0, 0> > >; Eigen::internal::redux_impl::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; typename Eigen::internal::traits::Scalar = int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/max.hpp:24:21: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) long long int’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:351:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:357:39: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >, const Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; U = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; Derived = Eigen::CwiseUnaryView > >::val_Op, Eigen::Map > >; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:44:25: required from ‘static double stan::math::internal::dot_product_vari::var_dot(stan::math::vari**, stan::math::vari**, size_t) [with T1 = stan::math::var; T2 = stan::math::var; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:129:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(typename stan::math::internal::dot_product_store_type::type, typename stan::math::internal::dot_product_store_type::type, size_t) [with T1 = stan::math::var; T2 = stan::math::var; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; typename stan::math::internal::dot_product_store_type::type = stan::math::vari**; size_t = long unsigned int]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/tcrossprod.hpp:49:57: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Matrix; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::Matrix; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/log_softmax.hpp:73:55: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, -1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:447:43: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:144:30: required from ‘bool Eigen::DenseBase::hasNaN() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/BooleanRedux.h:158:10: required from ‘bool Eigen::DenseBase::allFinite() const [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_finite.hpp:30:9: required from ‘static void stan::math::internal::finite, true>::check(const char*, const char*, const Eigen::Matrix&) [with T = double; int R = -1; int C = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/scal/err/check_finite.hpp:47:59: required from ‘void stan::math::check_finite(const char*, const char*, const T_y&) [with T_y = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_diag_inv_metric.hpp:21:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:308:7: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:360:7: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_Q.hpp:26:34: required from ‘Eigen::Matrix stan::math::qr_thin_Q(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3801:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:192:25: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/add.hpp:58:12: required from ‘Eigen::Matrix::type, R, C> stan::math::add(const T1&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/continuous.hpp:720:95: required from ‘Eigen::Matrix::type>::type, -1, 1> model_continuous_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:6030:54: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/elt_divide.hpp:27:21: required from ‘Eigen::Matrix::type, R, C> stan::math::elt_divide(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/continuous.hpp:720:68: required from ‘Eigen::Matrix::type>::type, -1, 1> model_continuous_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:6030:54: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Array >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/subtract.hpp:34:12: required from ‘Eigen::Matrix::type, R, C> stan::math::subtract(const T1&, const Eigen::Matrix&) [with T1 = int; T2 = double; int R = -1; int C = 1; typename stan::return_type::type = double]’ stan_files/continuous.hpp:1943:257: required from ‘Eigen::Matrix::type, -1, 1> model_continuous_namespace::SS_asympOff(const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T0__ = double; T1__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:6521:74: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:33:47: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverMatrix.h:153:19: required from ‘static void Eigen::internal::triangular_solve_matrix::run(Index, Index, const Scalar*, Index, Scalar*, Index, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 2; bool Conjugate = false; int TriStorageOrder = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:102:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with int Side = 1; OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:511:43: required from ‘void Eigen::TriangularViewImpl<_MatrixType, _Mode, Eigen::Dense>::solveInPlace(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, -1, false>; _MatrixType = Eigen::Block, -1, -1, false>; unsigned int _Mode = 2]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:108:49: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:316:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:317:35: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:318:41: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:45: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/sd.hpp:36:44: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:46: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:368:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:294:10: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::min_coeff_visitor, -1, 1, false> >; Derived = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:229:3: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::minCoeff(IndexType*) const [with IndexType = long int; Derived = Eigen::Block, -1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:535:7: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:46: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0>, -1, 1, false> >, Eigen::Transpose, 1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:352:67: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:35: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:355:32: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:373:58: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayWrapper.h:42:7: required from ‘class Eigen::ArrayWrapper, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:34: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:280:16: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:280:36: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false> >, 6>, Eigen::Block, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:96: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 2>, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 2>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 2>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:94:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/TriangularMatrix.h:174:44: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:95:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, 1>, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, 1>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, 1>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:95:66: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 5>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 5>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, 5>, Eigen::Matrix, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, 5>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, 5>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:22: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:308:7: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:360:7: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_Q.hpp:26:34: required from ‘Eigen::Matrix stan::math::qr_thin_Q(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3801:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:308:7: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:360:7: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_Q.hpp:26:34: required from ‘Eigen::Matrix stan::math::qr_thin_Q(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3801:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:308:7: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:360:7: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_Q.hpp:26:34: required from ‘Eigen::Matrix stan::math::qr_thin_Q(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3801:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:41: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:308:7: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:360:7: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_Q.hpp:26:34: required from ‘Eigen::Matrix stan::math::qr_thin_Q(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3801:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::Stride<0, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/to_vector.hpp:25:50: required from ‘Eigen::Matrix stan::math::to_vector(const std::vector&) [with T = double]’ stan_files/continuous.hpp:5026:124: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix, const Eigen::Matrix >, Eigen::internal::member_sum, 1>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/rows_dot_product.hpp:24:46: required from ‘Eigen::Matrix stan::math::rows_dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/continuous.hpp:5287:68: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_linesearch.hpp:248:23: required from ‘int stan::optimization::WolfeLineSearch(FunctorType&, Scalar&, XType&, Scalar&, XType&, const XType&, const XType&, const Scalar&, const XType&, const Scalar&, const Scalar&, const Scalar&, const Scalar&, const Scalar&) [with FunctorType = stan::optimization::ModelAdaptor; Scalar = double; XType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:210:28: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:64: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, Eigen::Matrix >, const Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:34:52: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:47: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:24: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Product, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:55:20: required from ‘void stan::optimization::BFGSUpdate_HInv::search_direction(stan::optimization::BFGSUpdate_HInv::VectorT&, const VectorT&) const [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:255:5: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_lpdf.hpp:109:45: required from ‘stan::return_type_t stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_log.hpp:30:35: required from ‘stan::return_type_t stan::math::normal_id_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/continuous.hpp:5043:49: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_lpdf.hpp:110:15: required from ‘stan::return_type_t stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_log.hpp:30:35: required from ‘stan::return_type_t stan::math::normal_id_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/continuous.hpp:5043:49: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_lpdf.hpp:111:14: required from ‘stan::return_type_t stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_log.hpp:30:35: required from ‘stan::return_type_t stan::math::normal_id_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/continuous.hpp:5043:49: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_lpdf.hpp:123:27: required from ‘stan::return_type_t stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_log.hpp:30:35: required from ‘stan::return_type_t stan::math::normal_id_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/continuous.hpp:5043:49: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Transpose >, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_lpdf.hpp:123:11: required from ‘stan::return_type_t stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_log.hpp:30:35: required from ‘stan::return_type_t stan::math::normal_id_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/continuous.hpp:5043:49: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_lpdf.hpp:126:65: required from ‘stan::return_type_t stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_log.hpp:30:35: required from ‘stan::return_type_t stan::math::normal_id_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/continuous.hpp:5043:49: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::Array, const Eigen::CwiseNullaryOp, const Eigen::Array > >, const Eigen::CwiseNullaryOp, const Eigen::Array > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_lpdf.hpp:139:59: required from ‘stan::return_type_t stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_log.hpp:30:35: required from ‘stan::return_type_t stan::math::normal_id_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/continuous.hpp:5043:49: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::square_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/square.hpp:31:50: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::square(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/continuous.hpp:713:42: required from ‘Eigen::Matrix::type>::type, -1, 1> model_continuous_namespace::hs_prior(const Eigen::Matrix&, const std::vector&, const std::vector >&, const T3__&, const T4__&, const T5__&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; T5__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:6030:54: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/continuous.hpp:6325:79: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:50:60: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = 1; int C1 = -1; int R2 = -1; int C2 = 1]’ stan_files/continuous.hpp:6341:79: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::exp_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/exp.hpp:41:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::exp(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/continuous.hpp:1893:325: required from ‘Eigen::Matrix::type, -1, 1> model_continuous_namespace::SS_asymp(const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T0__ = double; T1__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:6518:71: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv.hpp:31:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/continuous.hpp:1101:73: required from ‘Eigen::Matrix::type, -1, 1> model_continuous_namespace::linkinv_gauss(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:6574:114: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_sqrt_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv_sqrt.hpp:32:52: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv_sqrt(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/continuous.hpp:1394:78: required from ‘Eigen::Matrix::type, -1, 1> model_continuous_namespace::linkinv_inv_gaussian(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:6606:121: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_logit_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv_logit.hpp:32:53: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv_logit(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/continuous.hpp:1595:79: required from ‘Eigen::Matrix::type, -1, 1> model_continuous_namespace::linkinv_beta(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:6622:55: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::Phi_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Phi.hpp:31:47: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::Phi(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/continuous.hpp:1598:73: required from ‘Eigen::Matrix::type, -1, 1> model_continuous_namespace::linkinv_beta(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:6622:55: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::inv_cloglog_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/inv_cloglog.hpp:32:55: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::inv_cloglog(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/continuous.hpp:1601:81: required from ‘Eigen::Matrix::type, -1, 1> model_continuous_namespace::linkinv_beta(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:6622:55: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]:: >::scalar_t)>, const Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/vectorize/apply_scalar_unary.hpp:58:77: required from ‘static stan::math::apply_scalar_unary::return_t stan::math::apply_scalar_unary::apply(const T&) [with F = stan::math::atan_fun; T = Eigen::Matrix; stan::math::apply_scalar_unary::return_t = Eigen::Matrix; typename Eigen::internal::traits<_Rhs>::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/atan.hpp:32:48: required from ‘typename stan::math::apply_scalar_unary::return_t stan::math::atan(const T&) [with T = Eigen::Matrix; typename stan::math::apply_scalar_unary::return_t = Eigen::Matrix]’ stan_files/continuous.hpp:1604:102: required from ‘Eigen::Matrix::type, -1, 1> model_continuous_namespace::linkinv_beta(const Eigen::Matrix&, const int&, std::ostream*) [with T0__ = double; typename boost::math::tools::promote_args::type = double; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:6622:55: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, true>, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply_lower_tri_self_transpose.hpp:35:70: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:167:9: required from ‘void Eigen::internal::tribb_kernel::operator()(Eigen::internal::tribb_kernel::ResScalar*, Index, const LhsScalar*, const RhsScalar*, Index, Index, const ResScalar&) [with LhsScalar = double; RhsScalar = double; Index = long int; int mr = 4; int nr = 4; bool ConjLhs = false; bool ConjRhs = false; int UpLo = 2; Eigen::internal::tribb_kernel::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrixTriangular.h:114:13: required from ‘static void Eigen::internal::general_matrix_matrix_triangular_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_triangular_product::ResScalar*, Index, const ResScalar&, Eigen::internal::level3_blocking&) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 1; bool ConjugateRhs = false; int UpLo = 2; int Version = 0; Eigen::internal::general_matrix_matrix_triangular_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:113:12: required from ‘static void Eigen::selfadjoint_product_selector::run(MatrixType&, const OtherType&, const typename MatrixType::Scalar&) [with MatrixType = Eigen::Matrix; OtherType = Eigen::Matrix; int UpLo = 2; typename MatrixType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointProduct.h:126:62: required from ‘Eigen::SelfAdjointView& Eigen::SelfAdjointView::rankUpdate(const Eigen::MatrixBase&, const Scalar&) [with DerivedU = Eigen::Matrix; _MatrixType = Eigen::Matrix; unsigned int UpLo = 2; Eigen::SelfAdjointView::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:24:71: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, true>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, true>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, true>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:63:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:244:34: required from ‘static Eigen::internal::lpNorm_selector::RealScalar Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Matrix; Eigen::internal::lpNorm_selector::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = -1; Derived = Eigen::Matrix; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:67:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, 1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, 1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block >, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block >, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:69:7: required from ‘class Eigen::InverseImpl >, Eigen::SolverStorage>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Inverse.h:43:7: required from ‘class Eigen::Inverse > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:12: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:433:14: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:454:5: required from ‘void Eigen::internal::apply_rotation_in_the_plane(Eigen::DenseBase&, Eigen::DenseBase&, const Eigen::JacobiRotation&) [with VectorX = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; VectorY = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>; OtherScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Jacobi/Jacobi.h:296:40: required from ‘void Eigen::MatrixBase::applyOnTheRight(Eigen::Index, Eigen::Index, const Eigen::JacobiRotation&) [with OtherScalar = double; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:861:7: required from ‘void Eigen::internal::tridiagonal_qr_step(RealScalar*, RealScalar*, Index, Index, Scalar*, Index) [with int StorageOrder = 0; RealScalar = double; Scalar = double; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:520:87: required from ‘Eigen::ComputationInfo Eigen::internal::computeFromTridiagonal_impl(DiagType&, SubDiagType&, Eigen::Index, bool, MatrixType&) [with MatrixType = Eigen::Matrix; DiagType = Eigen::Matrix; SubDiagType = Eigen::Matrix; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:439:49: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1337:8: required from ‘struct Eigen::internal::evaluator_wrapper_base, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1416:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::ArrayWrapper, -1, 1, false> >, const Eigen::CwiseNullaryOp, Eigen::Array > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:381:19: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:280:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:284:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:284:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:284:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:284:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:29: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:284:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:284:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:63:57: required from ‘void Eigen::internal::make_block_householder_triangular_factor(TriangularFactorType&, const VectorsType&, const CoeffsType&) [with TriangularFactorType = Eigen::Matrix; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >::val_Op, Eigen::Ref > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >::val_Op, Eigen::Ref > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl > >::val_Op, Eigen::Ref >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:168:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(const Eigen::Matrix&, const Eigen::Matrix&, stan::math::internal::dot_product_vari*, stan::math::internal::dot_product_vari*) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1; T1 = double; T2 = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:199:14: required from ‘stan::return_type_t stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; int R1 = -1; int C1 = 1; T2 = stan::math::var; int R2 = -1; int C2 = 1; = void; stan::return_type_t = stan::math::var]’ stan_files/continuous.hpp:5117:65: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Transpose, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:33:74: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:60: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointRank2Update.h:34:23: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:319:7: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:131:44: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:280:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:91:22: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:280:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, -1, false>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, -1, false>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:26:12: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Matrix; SrcXprType = Eigen::Block, -1, 1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Block, -1, 1, false>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Block, -1, 1, false>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tail.hpp:30:18: required from ‘Eigen::Matrix stan::math::tail(const Eigen::Matrix&, size_t) [with T = double; size_t = long unsigned int]’ stan_files/continuous.hpp:3793:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:150:10: required from ‘Eigen::Matrix stan::math::append_row(const Eigen::Matrix&, const Eigen::Matrix&) [with T = double; int R1 = -1; int R2 = -1]’ stan_files/continuous.hpp:5026:215: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ArrayBase.h:39:34: required from ‘class Eigen::ArrayBase, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::CwiseUnaryOp, const Eigen::ArrayWrapper > > >’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/families/normal_meanfield.hpp:388:57: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:222:11: required from ‘double stan::variational::advi::adapt_eta(Q&, int, stan::callbacks::logger&) const [with Model = model_continuous_namespace::model_continuous; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/variational/advi.hpp:468:13: required from ‘int stan::variational::advi::run(double, bool, int, double, int, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) const [with Model = model_continuous_namespace::model_continuous; Q = stan::variational::normal_meanfield; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/experimental/advi/meanfield.hpp:82:3: required from ‘int stan::services::experimental::advi::meanfield(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, int, int, double, double, bool, int, int, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:886:18: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:25: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, 1, -1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block >, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::lpNorm() const [with int p = 1; Derived = Eigen::Block >, -1, 1, true>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:441:77: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>; Rhs = Eigen::Transpose >, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, Eigen::Transpose >, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block >, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block >, -1, -1, false>, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:321:18: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval >, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; Lhs = Eigen::Block >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Transpose >, -1, -1, false>, 1, -1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product >, -1, -1, false>, -1, -1, false>, Eigen::Transpose >, -1, -1, false>, 1, -1, false> >, 0>; ExpressionType = Eigen::Block >, -1, -1, false>, -1, 1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:325:38: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:280:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:77:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:3: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:280:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:141:7: required from ‘Eigen::DenseCoeffsBase::CoeffReturnType Eigen::DenseCoeffsBase::coeff(Eigen::Index) const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Eigen::DenseCoeffsBase::CoeffReturnType = const double&; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:77:20: required from ‘void Eigen::MatrixBase::makeHouseholder(EssentialPart&, Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) const [with EssentialPart = Eigen::VectorBlock, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1>; Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:45:3: required from ‘void Eigen::MatrixBase::makeHouseholderInPlace(Eigen::MatrixBase::Scalar&, Eigen::MatrixBase::RealScalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>; Eigen::MatrixBase::Scalar = double; Eigen::MatrixBase::RealScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:280:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:369:45: required from ‘struct Eigen::internal::generic_product_impl, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:308:7: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:360:7: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_Q.hpp:26:34: required from ‘Eigen::Matrix stan::math::qr_thin_Q(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3801:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stan_files/continuous.hpp:2558:88: required from ‘typename boost::math::tools::promote_args::type>::type model_continuous_namespace::ll_mvn_ols(const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const T3__&, const T4__&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:5030:42: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:43: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::CwiseUnaryOp >::val_Op, const Eigen::Matrix >; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:48:32: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_self.hpp:69:14: required from ‘stan::math::var stan::math::dot_self(const Eigen::Matrix&) [with int R = -1; int C = 1]’ stan_files/continuous.hpp:318:117: required from ‘Eigen::Matrix::type>::type, -1, 1> model_continuous_namespace::make_theta_L(const int&, const std::vector&, const T2__&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, std::ostream*) [with T2__ = stan::math::var; T3__ = stan::math::var; T4__ = double; T5__ = stan::math::var; T6__ = stan::math::var; T7__ = stan::math::var; typename boost::math::tools::promote_args::type>::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:4945:61: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:24:33: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:124:9: required from ‘typename std::enable_if<(std::is_same::value || std::is_same::value), stan::math::var>::type stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; typename std::enable_if<(std::is_same::value || std::is_same::value), stan::math::var>::type = stan::math::var]’ stan_files/continuous.hpp:2558:88: required from ‘typename boost::math::tools::promote_args::type>::type model_continuous_namespace::ll_mvn_ols(const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const T3__&, const T4__&, const int&, std::ostream*) [with T0__ = stan::math::var; T1__ = double; T2__ = double; T3__ = double; T4__ = stan::math::var; typename boost::math::tools::promote_args::type>::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:5030:42: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:121:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 6>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:24:37: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:124:9: required from ‘typename std::enable_if<(std::is_same::value || std::is_same::value), stan::math::var>::type stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; typename std::enable_if<(std::is_same::value || std::is_same::value), stan::math::var>::type = stan::math::var]’ stan_files/continuous.hpp:2558:88: required from ‘typename boost::math::tools::promote_args::type>::type model_continuous_namespace::ll_mvn_ols(const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const T3__&, const T4__&, const int&, std::ostream*) [with T0__ = stan::math::var; T1__ = double; T2__ = double; T3__ = double; T4__ = stan::math::var; typename boost::math::tools::promote_args::type>::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:5030:42: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Matrix; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/cholesky_decompose.hpp:76:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:191:21: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 0; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = false; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:180:17: required from ‘static void Eigen::internal::general_matrix_matrix_product::run(Index, Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar*, Index, Eigen::internal::general_matrix_matrix_product::ResScalar, Eigen::internal::level3_blocking&, Eigen::internal::GemmParallelInfo*) [with Index = long int; LhsScalar = double; int LhsStorageOrder = 1; bool ConjugateLhs = false; RhsScalar = double; int RhsStorageOrder = 0; bool ConjugateRhs = false; Eigen::internal::general_matrix_matrix_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:226:14: required from ‘void Eigen::internal::gemm_functor::operator()(Index, Index, Index, Index, Eigen::internal::GemmParallelInfo*) const [with Scalar = double; Index = long int; Gemm = Eigen::internal::general_matrix_matrix_product; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Dest = Eigen::Block, -1, -1, false>; BlockingType = Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/Parallelizer.h:97:7: required from ‘void Eigen::internal::parallelize_gemm(const Functor&, Index, Index, Index, bool) [with bool Condition = true; Functor = Eigen::internal::gemm_functor, Eigen::Transpose, -1, -1, false> >, Eigen::Block, -1, -1, false>, Eigen::Block, -1, -1, false>, Eigen::internal::gemm_blocking_space<0, double, double, -1, -1, -1, 1, false> >; Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:484:9: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:454:20: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1846 | PacketBlock kernel; | ^~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_lhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int Pack1 = 4; int Pack2 = 2; bool Conjugate = true; bool PanelMode = false]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:374:28: required from ‘static void Eigen::internal::product_selfadjoint_matrix::run(Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixMatrix.h:507:12: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::Block, -1, -1, false>; int RhsMode = 0; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:357:18: required from ‘static void Eigen::internal::generic_product_impl_base::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, Eigen::SelfAdjointShape, Eigen::DenseShape, 8>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, 1>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:155:59: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1846:33: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:352:102: required from ‘struct Eigen::internal::plain_object_eval, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:370:45: required from ‘struct Eigen::internal::generic_product_impl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Lhs = Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Rhs = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Product, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:42:31: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:284:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/continuous.hpp:6325:79: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:50:64: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Matrix; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/dot_product.hpp:26:19: required from ‘double stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = 1; int C1 = -1; int R2 = -1; int C2 = 1]’ stan_files/continuous.hpp:6341:79: required from ‘void model_continuous_namespace::model_continuous::write_array(RNG&, std::vector&, std::vector&, std::vector&, bool, bool, std::ostream*) const [with RNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1091:5: required from ‘SEXPREC* rstan::stan_fit::constrain_pars(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:24:89: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 1, -1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, -1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:337:23: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, -1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseNullaryOp, Eigen::Matrix >; Functor = Eigen::internal::div_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, -1, false>, -1, 1, false>; Src = Eigen::CwiseNullaryOp, Eigen::Matrix >; Func = Eigen::internal::div_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SelfCwiseBinaryOp.h:41:28: required from ‘Derived& Eigen::DenseBase::operator/=(const Scalar&) [with Derived = Eigen::Block >, -1, -1, false>, -1, 1, false>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:326:21: required from ‘static Eigen::Index Eigen::internal::llt_inplace::unblocked(MatrixType&) [with MatrixType = Eigen::Block >, -1, -1, false>; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:356:24: required from ‘static Eigen::Index Eigen::internal::llt_inplace::blocked(MatrixType&) [with MatrixType = Eigen::Ref >; Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:401:68: required from ‘static bool Eigen::internal::LLT_Traits::inplace_decomposition(MatrixType&) [with MatrixType = Eigen::Ref >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:449:42: required from ‘Eigen::LLT& Eigen::LLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LLT.h:115:7: required from ‘Eigen::LLT::LLT(Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Ref >; int _UpLo = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:404:69: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, Eigen::internal::member_sum, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:56:7: required from ‘class Eigen::PartialReduxExpr, const Eigen::Matrix >, Eigen::internal::member_sum, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:522:47: required from ‘void Eigen::PartialPivLU::compute() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:131:7: required from ‘Eigen::PartialPivLU& Eigen::PartialPivLU::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:323:3: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl >, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, false>; Rhs = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:353:27: required from ‘static bool Eigen::internal::ldlt_inplace<1>::unblocked(MatrixType&, TranspositionType&, Workspace&, Eigen::internal::SignMatrix&) [with MatrixType = Eigen::Matrix; TranspositionType = Eigen::Transpositions<-1, -1, int>; Workspace = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:520:51: required from ‘Eigen::LDLT& Eigen::LDLT::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:112:7: required from ‘Eigen::LDLT::LDLT(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix; int _UpLo = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Cholesky/LDLT.h:668:10: required from ‘const Eigen::LDLT::PlainObject> Eigen::MatrixBase::ldlt() const [with Derived = Eigen::Matrix; typename Eigen::DenseBase::PlainObject = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/err/check_pos_definite.hpp:36:32: required from ‘void stan::math::check_pos_definite(const char*, const char*, const Eigen::Matrix&) [with T_y = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/util/validate_dense_inv_metric.hpp:22:46: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:280:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:308:7: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:360:7: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_Q.hpp:26:34: required from ‘Eigen::Matrix stan::math::qr_thin_Q(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3801:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from ‘Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = 1; int C1 = -1; int R2 = -1; int C2 = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ stan_files/continuous.hpp:3807:101: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from ‘Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ stan_files/continuous.hpp:3809:82: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 2, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 2, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from ‘Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ stan_files/continuous.hpp:3809:82: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 2, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:287:40: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 4 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from ‘Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ stan_files/continuous.hpp:3809:82: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Array; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Array; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/sum.hpp:21:16: required from ‘typename Eigen::DenseBase::Scalar stan::math::sum(const Eigen::DenseBase&) [with Derived = Eigen::Array; typename Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_lpdf.hpp:138:30: required from ‘stan::return_type_t stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_log.hpp:30:35: required from ‘stan::return_type_t stan::math::normal_id_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/continuous.hpp:5043:49: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/sum.hpp:21:16: required from ‘typename Eigen::DenseBase::Scalar stan::math::sum(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::ArrayWrapper >, const Eigen::ArrayWrapper > >; typename Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_lpdf.hpp:141:30: required from ‘stan::return_type_t stan::math::normal_id_glm_lpdf(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with bool propto = false; T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_log.hpp:30:35: required from ‘stan::return_type_t stan::math::normal_id_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = stan::math::var; T_beta = Eigen::Matrix; T_scale = stan::math::var; stan::return_type_t = stan::math::var]’ stan_files/continuous.hpp:5043:49: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:35: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::CwiseNullaryOp, Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:86:7: required from ‘class Eigen::SolveImpl >, Eigen::CwiseNullaryOp, Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Solve.h:62:7: required from ‘class Eigen::Solve >, Eigen::CwiseNullaryOp, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:574:9: required from ‘static void Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op::Scalar>&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; MatrixType = Eigen::Matrix; Eigen::internal::Assignment >, Eigen::internal::assign_op::Scalar>, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse > >; typename Eigen::PartialPivLU::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:165:45: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, false>, const Eigen::Block, -1, 1, true>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Block, -1, 1, false>; U = Eigen::Block, -1, 1, true>, -1, 1, false>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Block, -1, 1, true>, -1, 1, false>; Derived = Eigen::Block, -1, 1, false>; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:370:53: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; SrcXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Block, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:284:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:284:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from ‘Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = 1; int C1 = -1; int R2 = -1; int C2 = -1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ stan_files/continuous.hpp:3807:101: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:244:134: required from ‘static void Eigen::internal::gemv_dense_selector<2, 0, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; Derived = Eigen::internal::generic_product_impl, Eigen::Matrix, Eigen::DenseShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/multiply.hpp:72:15: required from ‘Eigen::Matrix::type, R1, C2> stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = -1; int R2 = -1; int C2 = 1; T1 = double; T2 = double; = void; typename stan::return_type::type = double]’ stan_files/continuous.hpp:3809:82: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:221:29: required from ‘static typename Eigen::NumTraits::Scalar>::Real Eigen::internal::lpNorm_selector::run(const Eigen::MatrixBase&) [with Derived = Eigen::Block, -1, 1, true>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:269:52: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::Matrix; MemberOp = Eigen::internal::member_lpnorm<1, double>; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: required from ‘Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType Eigen::internal::redux_evaluator<_XprType>::coeffByOuterInner(Eigen::Index, Eigen::Index) const [with _XprType = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; Eigen::internal::redux_evaluator<_XprType>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:194:9: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_max_op; Derived = Eigen::internal::redux_evaluator, Eigen::internal::member_lpnorm<1, double>, 0> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_max_op; Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:438:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::maxCoeff() const [with Derived = Eigen::PartialReduxExpr, Eigen::internal::member_lpnorm<1, double>, 0>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:33:45: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:491, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h: In instantiation of ‘void Eigen::internal::gemm_pack_rhs::operator()(Scalar*, const DataMapper&, Index, Index, Index, Index) [with Scalar = double; Index = long int; DataMapper = Eigen::internal::const_blas_data_mapper; int nr = 4; bool Conjugate = false; bool PanelMode = true]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:340:25: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 1; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = false; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; int ProductTag = 8; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 1>; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, Eigen::DenseShape, Eigen::TriangularShape, 8>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralBlockPanelKernel.h:1980:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 1980 | PacketBlock kernel; | ^~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false> >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:492:30: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, 1, false>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, false>, -1, 1, false> >, const Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:372:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:368, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h: In instantiation of ‘Index Eigen::internal::first_default_aligned(const Scalar*, Index) [with Scalar = double; Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:246:43: required from ‘Index Eigen::internal::blas_data_mapper::firstAligned(Index) const [with Scalar = const double; Index = long int; int StorageOrder = 0; int AlignmentType = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:400:9: required from ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:339:132: required from ‘static void Eigen::internal::gemv_dense_selector<2, 1, true>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Transpose >; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product >, Eigen::Matrix, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product >, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = 1; int _Options = 0; int _MaxRows = -1; int _MaxCols = 1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:24:58: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/Memory.h:470:10: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 470 | return first_aligned::alignment>(array, size); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseUnaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:98:22: required from ‘typename Eigen::NumTraits::Scalar>::Real Eigen::MatrixBase::squaredNorm() const [with Derived = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; typename Eigen::NumTraits::Scalar>::Real = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:76:37: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:280:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:797:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Src = Eigen::Product, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:308:7: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:360:7: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_Q.hpp:26:34: required from ‘Eigen::Matrix stan::math::qr_thin_Q(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3801:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:308:7: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:360:7: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_Q.hpp:26:34: required from ‘Eigen::Matrix stan::math::qr_thin_Q(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3801:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, 1, false> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:308:7: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:360:7: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_Q.hpp:26:34: required from ‘Eigen::Matrix stan::math::qr_thin_Q(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3801:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Product, Eigen::Matrix, 0> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Product, Eigen::Matrix, 0>; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] stan_files/continuous.hpp:2558:88: required from ‘typename boost::math::tools::promote_args::type>::type model_continuous_namespace::ll_mvn_ols(const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const T3__&, const T4__&, const int&, std::ostream*) [with T0__ = double; T1__ = double; T2__ = double; T3__ = double; T4__ = double; typename boost::math::tools::promote_args::type>::type = double; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:5030:42: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<1> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<1> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<1> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:811:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:168:21: required from ‘stan::math::internal::dot_product_vari::dot_product_vari(const Eigen::Matrix&, const Eigen::Matrix&, stan::math::internal::dot_product_vari*, stan::math::internal::dot_product_vari*) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1; T1 = double; T2 = stan::math::var]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/dot_product.hpp:199:14: required from ‘stan::return_type_t stan::math::dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; int R1 = -1; int C1 = 1; T2 = stan::math::var; int R2 = -1; int C2 = 1; = void; stan::return_type_t = stan::math::var]’ stan_files/continuous.hpp:5117:65: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from ‘void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:499:3: required from ‘Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:297:7: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:94:7: required from ‘class Eigen::CwiseUnaryOpImpl, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryOp.h:55:7: required from ‘class Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:381:55: required from ‘static Eigen::Index Eigen::internal::partial_lu_impl::unblocked_lu(Eigen::internal::partial_lu_impl::MatrixType&, PivIndex*, PivIndex&) [with Scalar = double; int StorageOrder = 0; PivIndex = int; Eigen::Index = long int; Eigen::internal::partial_lu_impl::MatrixType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:436:26: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:78: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:361:5: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:498, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h: In instantiation of ‘static void Eigen::internal::selfadjoint_matrix_vector_product::run(Index, const Scalar*, Index, const Scalar*, Scalar*, Scalar) [with Scalar = double; Index = long int; int StorageOrder = 0; int UpLo = 1; bool ConjugateLhs = false; bool ConjugateRhs = false; int Version = 0]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:227:7: required from ‘static void Eigen::internal::selfadjoint_product_impl::run(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::Block, -1, -1, false>; int LhsMode = 17; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Eigen::internal::selfadjoint_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:746:109: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: required from ‘static void Eigen::internal::generic_product_impl_base::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; Derived = Eigen::internal::generic_product_impl, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, Eigen::SelfAdjointShape, Eigen::DenseShape, 7>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Block, -1, 1, false>; Lhs = Eigen::SelfAdjointView, -1, -1, false>, 1>; Rhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, 1>, Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, 1, true>, -1, 1, false> >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 2 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:367:35: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, CoeffVectorType&) [with MatrixType = Eigen::Matrix; CoeffVectorType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:445:31: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 60 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, IsRowMajor), ConjugateRhs> pcj0; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:60:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 61 | conj_helper::IsComplex && EIGEN_LOGICAL_XOR(ConjugateLhs, !IsRowMajor), ConjugateRhs> pcj1; | ^~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/SelfadjointMatrixVector.h:61:121: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::Block, -1, -1, false>, -1, 1, true>, -1, 1, false>, -1, 1, false>, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:280:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:284:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:284:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:22:57: required from ‘struct Eigen::internal::traits >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: required from ‘class Eigen::Matrix’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:146:68: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:149:35: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:367, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h: In instantiation of ‘struct Eigen::internal::find_best_packet’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:174:81: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:149:35: required from ‘static void Eigen::internal::product_triangular_matrix_matrix::run(Index, Index, Index, const Scalar*, Index, const Scalar*, Index, Scalar*, Index, const Scalar&, Eigen::internal::level3_blocking&) [with Scalar = double; Index = long int; int Mode = 5; int LhsStorageOrder = 0; bool ConjugateLhs = false; int RhsStorageOrder = 0; bool ConjugateRhs = false; int Version = 0]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:437:12: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, -1, -1, false>; int Mode = 5; bool LhsIsTriangular = true; Lhs = const Eigen::Block, -1, -1, false>; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:44: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 170 | bool Stop = Size==Dynamic || (Size%unpacket_traits::size)==0 || is_same::half>::value> | ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:170:83: warning: ignoring attributes on template argument ‘Eigen::internal::unpacket_traits<__vector(2) double>::half’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/XprHelper.h:188:88: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 188 | typedef typename find_best_packet_helper::type>::type type; | ^~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:126:19: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:308:7: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:360:7: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_Q.hpp:26:34: required from ‘Eigen::Matrix stan::math::qr_thin_Q(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3801:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Matrix; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 3 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/append_row.hpp:150:10: required from ‘Eigen::Matrix stan::math::append_row(const Eigen::Matrix&, const Eigen::Matrix&) [with T = double; int R1 = -1; int R2 = -1]’ stan_files/continuous.hpp:5026:215: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false>, 1, -1, false> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Block, -1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:150:36: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false> >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, -1, -1, false>, -1, -1, false>, Eigen::Block, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:163:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, 5>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, Eigen::Transpose, -1, 1, false> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:166:34: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:238:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::EigenBase&) [with OtherDerived = Eigen::HouseholderSequence, Eigen::Matrix, 1>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:449:11: required from ‘static void Eigen::internal::tridiagonalization_inplace_selector::run(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix; MatrixType = Eigen::Matrix; int Size = -1; bool IsComplex = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/Tridiagonalization.h:430:55: required from ‘void Eigen::internal::tridiagonalization_inplace(MatrixType&, DiagonalType&, SubDiagonalType&, bool) [with MatrixType = Eigen::Matrix; DiagonalType = Eigen::Matrix; SubDiagonalType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:437:39: required from ‘Eigen::SelfAdjointEigenSolver& Eigen::SelfAdjointEigenSolver<_MatrixType>::compute(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Eigenvalues/SelfAdjointEigenSolver.h:168:7: required from ‘Eigen::SelfAdjointEigenSolver<_MatrixType>::SelfAdjointEigenSolver(const Eigen::EigenBase&, int) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/newton.hpp:21:51: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorBlock.h:56:47: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, -1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false> >, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false> >, -1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 6; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:40: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/rows_dot_product.hpp:24:46: required from ‘Eigen::Matrix stan::math::rows_dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/continuous.hpp:5287:68: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Matrix >, 1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Matrix >, 1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Matrix >, 1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix, const Eigen::Matrix >, 1, 1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix, const Eigen::Matrix >, 1, 1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, 1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:40: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/rows_dot_product.hpp:24:46: required from ‘Eigen::Matrix stan::math::rows_dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/continuous.hpp:5287:68: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:124:9: required from ‘typename std::enable_if<(std::is_same::value || std::is_same::value), stan::math::var>::type stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; typename std::enable_if<(std::is_same::value || std::is_same::value), stan::math::var>::type = stan::math::var]’ stan_files/continuous.hpp:2558:88: required from ‘typename boost::math::tools::promote_args::type>::type model_continuous_namespace::ll_mvn_ols(const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const T3__&, const T4__&, const int&, std::ostream*) [with T0__ = stan::math::var; T1__ = double; T2__ = double; T3__ = double; T4__ = stan::math::var; typename boost::math::tools::promote_args::type>::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:5030:42: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:124:9: required from ‘typename std::enable_if<(std::is_same::value || std::is_same::value), stan::math::var>::type stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; typename std::enable_if<(std::is_same::value || std::is_same::value), stan::math::var>::type = stan::math::var]’ stan_files/continuous.hpp:2558:88: required from ‘typename boost::math::tools::promote_args::type>::type model_continuous_namespace::ll_mvn_ols(const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const T3__&, const T4__&, const int&, std::ostream*) [with T0__ = stan::math::var; T1__ = double; T2__ = double; T3__ = double; T4__ = stan::math::var; typename boost::math::tools::promote_args::type>::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:5030:42: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; OtherDerived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:406:48: required from ‘Eigen::DenseBase::EvalReturnType Eigen::DenseBase::eval() const [with Derived = Eigen::Product, -1, -1, false>, Eigen::TriangularView, -1, -1, false>, 1>, 0>; Eigen::DenseBase::EvalReturnType = const Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:105:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, -1, 1, true, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, -1, 1, true, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, -1, 1, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, const Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, const Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, const Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:28:36: required from ‘static void Eigen::internal::compute_inverse::run(const MatrixType&, ResultType&) [with MatrixType = Eigen::Map, 0, Eigen::Stride<0, 0> >; ResultType = Eigen::Map, 0, Eigen::Stride<0, 0> >; int Size = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:522:55: required from ‘struct Eigen::internal::unary_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:69:8: required from ‘class Eigen::internal::visitor_evaluator, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:110:17: required from ‘void Eigen::DenseBase::visit(Visitor&) const [with Visitor = Eigen::internal::max_coeff_visitor, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Derived = Eigen::CwiseUnaryOp, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Visitor.h:266:3: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:115:18: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:111: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:111: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 1>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:145:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 1, false, double, Eigen::internal::const_blas_data_mapper, false, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:154:113: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:351:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 351 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:352:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 352 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:353:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 353 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Diagonal.h:63:53: required from ‘class Eigen::Diagonal, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:149:35: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:147:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Diagonal, 0>; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Diagonal, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:149:7: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_log.hpp:30:35: required from ‘stan::return_type_t stan::math::normal_id_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = double; T_beta = Eigen::Matrix; T_scale = double; stan::return_type_t = double]’ stan_files/continuous.hpp:5043:49: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_log.hpp:30:35: required from ‘stan::return_type_t stan::math::normal_id_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = double; T_beta = Eigen::Matrix; T_scale = double; stan::return_type_t = double]’ stan_files/continuous.hpp:5043:49: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Matrix; Rhs = Eigen::Transpose >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, Eigen::Transpose >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Transpose >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/tcrossprod.hpp:21:28: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, -1, -1, false> >, 1, -1, true> >, const Eigen::Block, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >; SrcEvaluatorTypeT = Eigen::internal::evaluator, -1, -1, false> >, Eigen::Block, -1, -1, false>, 1> >; Functor = Eigen::internal::sub_assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:452:25: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, -1, -1, false>; Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Block, -1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>; Src = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, -1, -1, false> >, Eigen::Block, -1, -1, false>, 0>; ExpressionType = Eigen::Block, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/cholesky_decompose.hpp:151:48: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> > >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:145:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 385 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, Eigen::internal::general_matrix_vector_product::ResScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 0; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:154:113: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; int Mode = 5; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = const Eigen::Block, -1, -1, false>, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false>; Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >; Rhs = Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>; Derived = Eigen::internal::generic_product_impl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::TriangularView, -1, -1, false>, -1, -1, false>, 5>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:385:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 6 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/Householder.h:129:22: required from ‘void Eigen::MatrixBase::applyHouseholderOnTheLeft(const EssentialPart&, const Scalar&, Eigen::MatrixBase::Scalar*) [with EssentialPart = Eigen::Block, -1, 1, false>; Derived = Eigen::Block, -1, -1, false>; Eigen::MatrixBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:342:11: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&, Workspace&) const [with Dest = Eigen::Matrix; Workspace = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:308:7: required from ‘void Eigen::HouseholderSequence::applyThisOnTheLeft(Dest&) const [with Dest = Eigen::Matrix; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/HouseholderSequence.h:360:7: required from ‘typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type Eigen::HouseholderSequence::operator*(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseNullaryOp, Eigen::Matrix >; VectorsType = Eigen::Matrix; CoeffsType = Eigen::Matrix; int Side = 1; typename Eigen::internal::matrix_type_times_scalar_type >::Scalar, OtherDerived>::Type = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_Q.hpp:26:34: required from ‘Eigen::Matrix stan::math::qr_thin_Q(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3801:54: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 16, Eigen::Stride<0, 0> >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 16, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 16, Eigen::Stride<0, 0> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, 2>, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, 2>, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, 2>, Eigen::Transpose > > >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right_tri.hpp:76:20: required from ‘Eigen::Matrix stan::math::mdivide_right_tri(const Eigen::Matrix&, const Eigen::Matrix&) [with Eigen::UpLoType TriView = Eigen::Lower; int R1 = 1; int C1 = -1; int R2 = -1; int C2 = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right_tri_low.hpp:24:41: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right_tri_low(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = 1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ stan_files/continuous.hpp:3807:116: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase > >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/util/BlasUtil.h:363:13: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_log.hpp:30:35: required from ‘stan::return_type_t stan::math::normal_id_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = double; T_beta = Eigen::Matrix; T_scale = double; stan::return_type_t = double]’ stan_files/continuous.hpp:5043:49: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase > >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase > >, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase > >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/prob/normal_id_glm_log.hpp:30:35: required from ‘stan::return_type_t stan::math::normal_id_glm_log(const T_y&, const T_x&, const T_alpha&, const T_beta&, const T_scale&) [with T_y = Eigen::Matrix; T_x = Eigen::Matrix; T_alpha = double; T_beta = Eigen::Matrix; T_scale = double; stan::return_type_t = double]’ stan_files/continuous.hpp:5043:49: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:480:9: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:411:29: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::CwiseNullaryOp, Eigen::Matrix >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:237:28: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:284:5: required from ‘void Eigen::internal::householder_qr_inplace_unblocked(MatrixQR&, HCoeffs&, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Block, -1, -1, false>; HCoeffs = Eigen::Block, -1, 1, false>; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:334:39: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:147:5: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:98:7: required from ‘class Eigen::PlainObjectBase >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:178:7: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, false>; SrcXprType = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, false>; Src = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >, -1, -1, false>; Derived = Eigen::Block, -1, -1, false>, -1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:451:31: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, false>, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, -1, -1, false>, -1, -1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, -1, -1, true> >; Derived = Eigen::Block, -1, -1, false>, -1, -1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:32: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:96:17: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:60: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, 2>, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, 2>, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, 2>, Eigen::Transpose > > >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right_tri.hpp:76:20: required from ‘Eigen::Matrix stan::math::mdivide_right_tri(const Eigen::Matrix&, const Eigen::Matrix&) [with Eigen::UpLoType TriView = Eigen::Lower; int R1 = 1; int C1 = -1; int R2 = -1; int C2 = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right_tri_low.hpp:24:41: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right_tri_low(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = 1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ stan_files/continuous.hpp:3807:116: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:124: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, 2>, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, 2>, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, 2>, Eigen::Transpose > > >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right_tri.hpp:76:20: required from ‘Eigen::Matrix stan::math::mdivide_right_tri(const Eigen::Matrix&, const Eigen::Matrix&) [with Eigen::UpLoType TriView = Eigen::Lower; int R1 = 1; int C1 = -1; int R2 = -1; int C2 = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right_tri_low.hpp:24:41: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right_tri_low(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = 1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ stan_files/continuous.hpp:3807:116: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:40: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/rows_dot_product.hpp:24:46: required from ‘Eigen::Matrix stan::math::rows_dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/continuous.hpp:5287:68: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, 1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, 1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, 1, 1, false>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1318:40: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/rows_dot_product.hpp:24:46: required from ‘Eigen::Matrix stan::math::rows_dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/continuous.hpp:5287:68: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Matrix >; Rhs = Eigen::Transpose >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 11 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:60:7: required from ‘class Eigen::CwiseNullaryOp, Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:327:30: required from ‘Derived& Eigen::DenseBase::setConstant(const Scalar&) [with Derived = Eigen::Matrix; Eigen::DenseBase::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseNullaryOp.h:501:10: required from ‘Derived& Eigen::DenseBase::setZero() [with Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixMatrix.h:434:7: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:40:11: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, 1, -1, false>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1309:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:390:11: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:274:18: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: required from ‘static void Eigen::internal::generic_product_impl::subTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:178:42: required from ‘static void Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::sub_assign_op&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::sub_assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Src = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/NoAlias.h:58:31: required from ‘ExpressionType& Eigen::NoAlias::operator-=(const StorageBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, 0>; ExpressionType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; StorageBase = Eigen::MatrixBase]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/PartialPivLU.h:406:53: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:280:48: required from ‘void Eigen::internal::outer_product_selector_run(Dst&, const Lhs&, const Rhs&, const Func&, const Eigen::internal::false_type&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>; Func = Eigen::internal::generic_product_impl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false>, Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, 1, -1, false>, 1, -1, false>, Eigen::DenseShape, Eigen::DenseShape, 5>::sub]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:329:41: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, -1, true>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, -1, true>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, -1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, -1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, -1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:94:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; bool LhsIsTriangular = true; Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:94:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, -1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, -1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:95:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixMatrix.h:456:59: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 1; bool LhsIsTriangular = true; Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:712:14: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:95:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 7 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:124:9: required from ‘typename std::enable_if<(std::is_same::value || std::is_same::value), stan::math::var>::type stan::math::quad_form(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; typename std::enable_if<(std::is_same::value || std::is_same::value), stan::math::var>::type = stan::math::var]’ stan_files/continuous.hpp:2558:88: required from ‘typename boost::math::tools::promote_args::type>::type model_continuous_namespace::ll_mvn_ols(const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const T3__&, const T4__&, const int&, std::ostream*) [with T0__ = stan::math::var; T1__ = double; T2__ = double; T3__ = double; T4__ = stan::math::var; typename boost::math::tools::promote_args::type>::type = stan::math::var; std::ostream = std::basic_ostream]’ stan_files/continuous.hpp:5030:42: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, 0, Eigen::Stride<0, 0> >, Eigen::Map, 0, Eigen::Stride<0, 0> >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/continuous.hpp:5066:57: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Block, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false>, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, 1, false> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:137:36: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const ResScalar&) [with Index = long int; int Mode = 6; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:332:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false>, -1, -1, false> >; Rhs = Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >; Dest = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; int Mode = 6; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false>, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 25 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose, -1, -1, false>, -1, 1, true>, -1, 1, false> > > >, -1, 1, false> >; Derived = Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:341:27: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, -1, true>, 1, -1, false> >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, -1, true>, 1, -1, false> >, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:54: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; Dest = Eigen::Transpose >; int Mode = 1; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 12 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:92:78: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1316:40: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index) const [with ArgType = const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 1; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/rows_dot_product.hpp:24:46: required from ‘Eigen::Matrix stan::math::rows_dot_product(const Eigen::Matrix&, const Eigen::Matrix&) [with int R1 = -1; int C1 = 1; int R2 = -1; int C2 = 1]’ stan_files/continuous.hpp:5287:68: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = false; bool jacobian__ = false; T__ = double; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/newton.hpp:56:8: required from ‘int stan::services::optimize::newton(Model&, stan::io::var_context&, unsigned int, unsigned int, double, int, bool, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:488:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block >, -1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 13 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs_update.hpp:37:21: required from ‘Scalar stan::optimization::BFGSUpdate_HInv::update(const VectorT&, const VectorT&, bool) [with Scalar = double; int DimAtCompile = -1; stan::optimization::BFGSUpdate_HInv::VectorT = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/optimization/bfgs.hpp:247:14: required from ‘int stan::optimization::BFGSMinimizer::step() [with FunctorType = stan::optimization::ModelAdaptor; QNUpdateType = stan::optimization::BFGSUpdate_HInv<>; Scalar = double; int DimAtCompile = -1]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/services/optimize/bfgs.hpp:117:9: required from ‘int stan::services::optimize::bfgs(Model&, stan::io::var_context&, unsigned int, unsigned int, double, double, double, double, double, double, double, int, bool, int, stan::callbacks::interrupt&, stan::callbacks::logger&, stan::callbacks::writer&, stan::callbacks::writer&) [with Model = model_continuous_namespace::model_continuous]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:503:41: required from ‘int rstan::{anonymous}::command(rstan::stan_args&, Model&, Rcpp::List&, const std::vector&, const std::vector >&, RNG_t&) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; Rcpp::List = Rcpp::Vector<19>]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1201:18: required from ‘SEXPREC* rstan::stan_fit::call_sampler(SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:13:87: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, -1, false> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Matrix; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Matrix; Src = Eigen::Product, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:714:32: required from ‘Derived& Eigen::PlainObjectBase::_set(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:225:24: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>& Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, Eigen::Matrix, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/EigenBase.h:104:9: required from ‘void Eigen::EigenBase::applyThisOnTheRight(Dest&) const [with Dest = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:499:3: required from ‘Derived& Eigen::MatrixBase::operator*=(const Eigen::EigenBase&) [with OtherDerived = Eigen::Matrix; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/matrix_exp_action_handler.hpp:116:14: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix >, -1, 1, true> >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/VectorwiseOp.h:104:1: required from ‘ResultType Eigen::internal::member_sum::operator()(const XprType&) const [with XprType = Eigen::Block, const Eigen::Matrix >, -1, 1, true>; ResultType = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:1307:36: required from ‘const Scalar Eigen::internal::evaluator >::coeff(Eigen::Index, Eigen::Index) const [with ArgType = const Eigen::CwiseUnaryOp, const Eigen::Matrix >; MemberOp = Eigen::internal::member_sum; int Direction = 0; Eigen::internal::evaluator >::Scalar = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:381:84: [ skipping 9 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::OuterStride<> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:44:18: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::InnerStride<> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::InnerStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::InnerStride<> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::InnerStride<> >, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Map.h:94:79: required from ‘class Eigen::Map, 0, Eigen::InnerStride<> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:48:18: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:56: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘struct Eigen::internal::general_matrix_vector_product, 0, false, double, Eigen::internal::const_blas_data_mapper, false, 1>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:74:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; Dest = Eigen::Transpose >; int Mode = 1; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 2>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 2>; Derived = Eigen::internal::generic_product_impl, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:75:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 75 | typedef typename conditional::type LhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:76:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 76 | typedef typename conditional::type RhsPacket; | ^~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:77:71: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 77 | typedef typename conditional::type ResPacket; | ^~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> > >, 1, -1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> > >, 1, -1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:494, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h: In instantiation of ‘static void Eigen::internal::general_matrix_vector_product::run(Index, Index, const LhsMapper&, const RhsMapper&, Eigen::internal::general_matrix_vector_product::ResScalar*, Index, RhsScalar) [with Index = long int; LhsScalar = double; LhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateLhs = false; RhsScalar = double; RhsMapper = Eigen::internal::const_blas_data_mapper; bool ConjugateRhs = false; int Version = 1; Eigen::internal::general_matrix_vector_product::ResScalar = double]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:74:123: required from ‘static void Eigen::internal::triangular_matrix_vector_product::run(Index, Index, const LhsScalar*, Index, const RhsScalar*, Index, Eigen::internal::triangular_matrix_vector_product::ResScalar*, Index, const RhsScalar&) [with Index = long int; int Mode = 1; LhsScalar = double; bool ConjLhs = false; RhsScalar = double; bool ConjRhs = false; int Version = 0; Eigen::internal::triangular_matrix_vector_product::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:266:12: required from ‘static void Eigen::internal::trmv_selector::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::Transpose, -1, -1, false> >; Rhs = Eigen::Transpose, 1, -1, true>, 1, -1, false> >; Dest = Eigen::Transpose >; int Mode = 1; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:194:18: required from ‘static void Eigen::internal::triangular_product_impl::run(Dest&, const Lhs&, const Rhs&, const typename Dest::Scalar&) [with Dest = Eigen::Matrix; int Mode = 2; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::Block, -1, -1, false>; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:725:113: required from ‘static void Eigen::internal::generic_product_impl::scaleAndAddTo(Dest&, const Lhs&, const Rhs&, const Scalar&) [with Dest = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 2>; int ProductTag = 7; Eigen::internal::generic_product_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:361:27: required from ‘static void Eigen::internal::generic_product_impl_base::scaleAndAddTo(Dst&, const Lhs&, const Rhs&, const Scalar&) [with Dst = Eigen::Matrix; Lhs = Eigen::Block, 1, -1, true>, 1, -1, false>; Rhs = Eigen::TriangularView, -1, -1, false>, 2>; Derived = Eigen::internal::generic_product_impl, 1, -1, true>, 1, -1, false>, Eigen::TriangularView, -1, -1, false>, 2>, Eigen::DenseShape, Eigen::TriangularShape, 7>; Eigen::internal::generic_product_impl_base::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:349:33: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 112 | conj_helper pcj; | ^~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/GeneralMatrixVector.h:112:62: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::OuterStride<> >, 1, -1, true>, 1, -1, false> >, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularSolverVector.h:78:18: required from ‘static void Eigen::internal::triangular_solve_vector::run(Index, const LhsScalar*, Index, RhsScalar*) [with LhsScalar = double; RhsScalar = double; Index = long int; int Mode = 2; bool Conjugate = false]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:73:12: required from ‘static void Eigen::internal::triangular_solver_selector::run(const Lhs&, Rhs&) [with Lhs = const Eigen::Transpose >; Rhs = Eigen::Matrix; int Side = 1; int Mode = 2]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/SolveTriangular.h:182:21: [ skipping 10 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, 2>, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Transpose >, 2>, Eigen::Transpose > > >; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Transpose >, 2>, Eigen::Transpose > > >; _Scalar = double; int _Rows = 1; int _Cols = -1; int _Options = 1; int _MaxRows = 1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right_tri.hpp:76:20: required from ‘Eigen::Matrix stan::math::mdivide_right_tri(const Eigen::Matrix&, const Eigen::Matrix&) [with Eigen::UpLoType TriView = Eigen::Lower; int R1 = 1; int C1 = -1; int R2 = -1; int C2 = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/mdivide_right_tri_low.hpp:24:41: required from ‘Eigen::Matrix::type, R1, C2> stan::math::mdivide_right_tri_low(const Eigen::Matrix&, const Eigen::Matrix&) [with T1 = double; T2 = double; int R1 = 1; int C1 = -1; int R2 = -1; int C2 = -1; typename stan::return_type::type = double]’ stan_files/continuous.hpp:3807:116: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, 1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, -1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, -1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, -1, -1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:94:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, -1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, -1, -1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, -1, -1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block >, -1, -1, true> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:95:19: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:305:135: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; Rhs = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:219:34: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:172:103: required from ‘class Eigen::internal::BlockImpl_dense, Eigen::Matrix >, 1, -1, false, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: required from ‘class Eigen::BlockImpl, Eigen::Matrix >, 1, -1, false, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:103:81: required from ‘class Eigen::Block, Eigen::Matrix >, 1, -1, false>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:983:11: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, -1, true>, 1, -1, false> >, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Functor = Eigen::internal::sub_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Func = Eigen::internal::sub_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:164:18: required from ‘Derived& Eigen::MatrixBase::operator-=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 1, -1, true>, 1, -1, false> >, -1, 1, false> >; Derived = Eigen::Block >, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:282:27: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, -1, true> >, const Eigen::Block, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:76: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; Rhs = Eigen::Matrix; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: required from ‘void Eigen::internal::generic_dense_assignment_kernel::assignCoeff(Eigen::Index, Eigen::Index) [with DstEvaluatorTypeT = Eigen::internal::evaluator >; SrcEvaluatorTypeT = Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 1> >; Functor = Eigen::internal::assign_op; int Version = 0; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:645:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:148:43: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Matrix; Lhs = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>; Rhs = Eigen::Transpose, 0, Eigen::Stride<0, 0> > >; int Options = 0; Scalar = double; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense, typename Eigen::internal::enable_if<((Options == Eigen::DefaultProduct) || (Options == Eigen::AliasFreeProduct))>::type>::SrcXprType = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Matrix; Src = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:732:41: required from ‘Derived& Eigen::PlainObjectBase::_set_noalias(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:537:7: required from ‘Eigen::PlainObjectBase::PlainObjectBase(const Eigen::DenseBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:377:29: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const Eigen::EigenBase&) [with OtherDerived = Eigen::Product, 0, Eigen::Stride<0, 0> > >, Eigen::Matrix, 0>, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:65:73: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: [ skipping 18 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:736:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; SrcXprType = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Functor = Eigen::internal::add_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>; Src = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Block, 0, Eigen::OuterStride<> >, -1, 1, true>, -1, 1, false> >; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/products/TriangularMatrixVector.h:66:28: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Householder/BlockHouseholder.h:85:55: required from ‘void Eigen::internal::apply_block_householder_on_the_left(MatrixType&, const VectorsType&, const CoeffsType&, bool) [with MatrixType = Eigen::Block, -1, -1, false>; VectorsType = Eigen::Block, -1, -1, false>; CoeffsType = Eigen::Block, -1, 1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:339:44: required from ‘static void Eigen::internal::householder_qr_inplace_blocked::run(MatrixQR&, HCoeffs&, Eigen::Index, typename MatrixQR::Scalar*) [with MatrixQR = Eigen::Matrix; HCoeffs = Eigen::Matrix; MatrixQRScalar = double; bool InnerStrideIsOne = true; Eigen::Index = long int; typename MatrixQR::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:391:73: required from ‘void Eigen::HouseholderQR::computeInPlace() [with _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/QR/HouseholderQR.h:172:7: required from ‘Eigen::HouseholderQR& Eigen::HouseholderQR::compute(const Eigen::EigenBase&) [with InputType = Eigen::Matrix; _MatrixType = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/qr_thin_R.hpp:24:3: required from ‘Eigen::Matrix stan::math::qr_thin_R(const Eigen::Matrix&) [with T = double]’ stan_files/continuous.hpp:3789:50: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, 1, -1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, 1, -1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/continuous.hpp:5066:57: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 0, Eigen::Stride<0, 0> >, 1, -1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:40: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/continuous.hpp:5066:57: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 0, Eigen::Stride<0, 0> >, -1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 0, Eigen::Stride<0, 0> >, -1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 22 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/continuous.hpp:5066:57: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:552:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index, Eigen::Index) const [with Lhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; Rhs = Eigen::Map, 0, Eigen::Stride<0, 0> >; int ProductTag = 8; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:631:5: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/continuous.hpp:5066:57: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 23 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, -1, false>, -1, -1, false>, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 24 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/continuous.hpp:5066:57: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, -1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 0, Eigen::Stride<0, 0> >, 1, -1, false> >, const Eigen::Block, 0, Eigen::Stride<0, 0> >, -1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 21 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:289:9: required from ‘stan::math::multiply_mat_vari::multiply_mat_vari(const Eigen::Matrix&, const Eigen::Matrix&) [with int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:629:9: required from ‘Eigen::Matrix stan::math::multiply(const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1; = void]’ stan_files/continuous.hpp:5066:57: required from ‘T__ model_continuous_namespace::model_continuous::log_prob(std::vector&, std::vector&, std::ostream*) const [with bool propto__ = true; bool jacobian__ = true; T__ = stan::math::var; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/model/log_prob_grad.hpp:41:9: required from ‘double stan::model::log_prob_grad(const M&, std::vector&, std::vector&, std::vector&, std::ostream*) [with bool propto = true; bool jacobian_adjust_transform = true; M = model_continuous_namespace::model_continuous; std::ostream = std::basic_ostream]’ /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:1169:49: required from ‘SEXPREC* rstan::stan_fit::grad_log_prob(SEXP, SEXP) [with Model = model_continuous_namespace::model_continuous; RNG_t = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >; SEXP = SEXPREC*]’ stan_files/continuous.cc:21:88: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 0, Eigen::Stride<0, 0> >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Functor = Eigen::internal::swap_assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Func = Eigen::internal::swap_assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:418:22: required from ‘void Eigen::DenseBase::swap(const Eigen::DenseBase&) [with OtherDerived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Derived = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:965:19: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, Eigen::Matrix >, 1, -1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:730:20: required from ‘void Eigen::internal::call_dense_assignment_loop(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:879:31: required from ‘static void Eigen::internal::Assignment::run(DstXprType&, const SrcXprType&, const Functor&) [with DstXprType = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; SrcXprType = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Functor = Eigen::internal::assign_op; Weak = void]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Block, 0, Eigen::Stride<0, 0> >, 1, -1, false>; Src = Eigen::Block, Eigen::Matrix >, 1, -1, false>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: [ skipping 20 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/LU/InverseImpl.h:310:60: required from ‘static void Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::run(DstXprType&, const SrcXprType&, const Eigen::internal::assign_op&) [with DstXprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; XprType = Eigen::Map, 0, Eigen::Stride<0, 0> >; Eigen::internal::Assignment, Eigen::internal::assign_op, Eigen::internal::Dense2Dense>::SrcXprType = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; typename SrcXprType::Scalar = double; typename DstXprType::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:836:49: required from ‘void Eigen::internal::call_assignment_no_alias(Dst&, const Src&, const Func&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:804:27: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Func = Eigen::internal::assign_op; typename Eigen::internal::enable_if<(! Eigen::internal::evaluator_assume_aliasing::value), void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:782:18: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&) [with Dst = Eigen::Map, 0, Eigen::Stride<0, 0> >; Src = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Assign.h:66:28: required from ‘Derived& Eigen::MatrixBase::operator=(const Eigen::DenseBase&) [with OtherDerived = Eigen::Inverse, 0, Eigen::Stride<0, 0> > >; Derived = Eigen::Map, 0, Eigen::Stride<0, 0> >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/inverse.hpp:44:26: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:434, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:300:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:551:7: required from ‘class Eigen::DenseCoeffsBase >::adj_Op, Eigen::Matrix >, 3>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >::adj_Op, Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:101:7: required from ‘class Eigen::CwiseUnaryViewImpl >::adj_Op, Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseUnaryView.h:58:7: required from ‘class Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:90:14: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::CwiseBinaryOp, const Eigen::CwiseUnaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, const Eigen::CwiseNullaryOp, const Eigen::Matrix > >, const Eigen::CwiseBinaryOp, const Eigen::Map, 0, Eigen::Stride<0, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:37: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:24: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 0, 4>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:24: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0, 7>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:60: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 0, 4>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 0, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:65: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:43: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_continuous_namespace::model_continuous; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:48: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:42: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_continuous_namespace::model_continuous; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:61: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_continuous_namespace::model_continuous; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Matrix >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:21:25: required from ‘double stan::mcmc::diag_e_metric::T(stan::mcmc::diag_e_point&) [with Model = model_continuous_namespace::model_continuous; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/diag_e_metric.hpp:20:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 650 | return internal::first_aligned::alignment),Derived>(m); | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Matrix, const Eigen::Map, 0, Eigen::Stride<0, 0> > >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:37:52: required from ‘static Eigen::internal::dot_nocheck::ResScalar Eigen::internal::dot_nocheck::run(const Eigen::MatrixBase&, const Eigen::MatrixBase&) [with T = Eigen::Matrix; U = Eigen::Map, 0, Eigen::Stride<0, 0> >; bool NeedToTranspose = false; Eigen::internal::dot_nocheck::ResScalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Dot.h:84:58: required from ‘typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType Eigen::MatrixBase::dot(const Eigen::MatrixBase&) const [with OtherDerived = Eigen::Map, 0, Eigen::Stride<0, 0> >; Derived = Eigen::Matrix; typename Eigen::ScalarBinaryOpTraits::Scalar, typename Eigen::internal::traits::Scalar>::ReturnType = double]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/softmax.hpp:58:33: required from ‘std::tuple > stan::math::internal::softmax_op::multiply_adjoint_jacobian(const std::array&, const VectorXd&) const [with long unsigned int size = 1; Eigen::VectorXd = Eigen::Matrix]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:535:10: required from ‘void stan::math::adj_jac_vari::chain() [with F = stan::math::internal::softmax_op; Targs = {Eigen::Matrix}]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/functor/adj_jac_apply.hpp:531:8: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘Eigen::Index Eigen::internal::first_default_aligned(const Eigen::DenseBase&) [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; Eigen::Index = long int]’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:225:63: required from ‘static Eigen::internal::redux_impl::Scalar Eigen::internal::redux_impl::run(const Derived&, const Func&) [with Func = Eigen::internal::scalar_sum_op; Derived = Eigen::internal::redux_evaluator, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix > >; Eigen::internal::redux_impl::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:418:56: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::sum() const [with Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0> >, const Eigen::Matrix >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_continuous_namespace::model_continuous; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:650:34: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, 8>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 5 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/PlainObjectBase.h:816:7: required from ‘void Eigen::PlainObjectBase::_init1(const Eigen::DenseBase&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Matrix.h:294:31: required from ‘Eigen::Matrix<_Scalar, _Rows, _Cols, _Options, _MaxRows, _MaxCols>::Matrix(const T&) [with T = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; _Scalar = double; int _Rows = -1; int _Cols = -1; int _Options = 0; int _MaxRows = -1; int _MaxCols = -1]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >; Src = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::Product, Eigen::Transpose, 0, Eigen::Stride<0, 0> > >, 0>; Derived = Eigen::CwiseUnaryView > >::adj_Op, Eigen::Map > >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:131:9: required from ‘void stan::math::multiply_mat_vari::chain() [with Ta = stan::math::var; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/multiply.hpp:107:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 55 | >::type PacketReturnType; | ^~~~~~~~~~~~~~~~ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, Eigen::Matrix, 0>, Eigen::Transpose >, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base, Eigen::Matrix, 0>, Eigen::Transpose >, 1, 4>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl, Eigen::Matrix, 0>, Eigen::Transpose >, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:397:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:13: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, Eigen::Matrix, 0>, Eigen::Matrix, 1> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:115:7: required from ‘class Eigen::internal::dense_product_base >, Eigen::Matrix, 0>, Eigen::Matrix, 1, 4>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:147:7: required from ‘class Eigen::ProductImpl >, Eigen::Matrix, 0>, Eigen::Matrix, 1, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:71:7: required from ‘class Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 1>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:404:29: [ skipping 8 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:13: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:13: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, false> >, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, 1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, 1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:563:40: [ skipping 15 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:13: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase >, 1, 1, false>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase >, 1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase >, 1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase >, 1, 1, false>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense >, 1, 1, false, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:13: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block >, 1, 1, false>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:563:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Product, Eigen::Matrix, 0>; Rhs = Eigen::Transpose >; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:13: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:478:7: required from ‘class Eigen::DenseCoeffsBase, 1, 1, true>, 2>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, 1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, 1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MapBase.h:37:34: required from ‘class Eigen::MapBase, 1, 1, true>, 0>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:329:7: required from ‘class Eigen::internal::BlockImpl_dense, 1, 1, true, true>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Block.h:154:7: [ skipping 17 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:13: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:148:7: required from ‘class Eigen::CwiseBinaryOpImpl, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, true>, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:77:7: required from ‘class Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:563:72: required from ‘const CoeffReturnType Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::coeff(Eigen::Index) const [with Lhs = Eigen::Product >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int ProductTag = 4; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, Eigen::DenseShape, Eigen::DenseShape>::CoeffReturnType = double; Eigen::Index = long int]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:637:5: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:13: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h: In instantiation of ‘class Eigen::DenseCoeffsBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >, 0>’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseBase.h:41:34: required from ‘class Eigen::DenseBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/MatrixBase.h:48:34: required from ‘class Eigen::MatrixBase, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:115:37: required from ‘class Eigen::TransposeImpl, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Dense>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Transpose.h:52:37: required from ‘class Eigen::Transpose, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/GeneralProduct.h:197:12: required from ‘static void Eigen::internal::gemv_dense_selector<1, StorageOrder, BlasCompatible>::run(const Lhs&, const Rhs&, Dest&, const typename Dest::Scalar&) [with Lhs = Eigen::CwiseBinaryOp, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >; Rhs = Eigen::Matrix; Dest = Eigen::Matrix; int StorageOrder = 0; bool BlasCompatible = true; typename Dest::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:383:34: [ skipping 14 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:251:23: required from ‘static void Eigen::internal::generic_product_impl::evalTo(Dst&, const Lhs&, const Rhs&) [with Dst = Eigen::Matrix; Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:124:75: required from ‘Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::product_evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; int ProductTag = 6; LhsShape = Eigen::DenseShape; RhsShape = Eigen::DenseShape; typename Eigen::internal::traits::Rhs>::Scalar = double; typename Eigen::internal::traits::Lhs>::Scalar = double; Eigen::internal::product_evaluator, ProductTag, LhsShape, RhsShape>::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/ProductEvaluators.h:35:90: required from ‘Eigen::internal::evaluator >::evaluator(const XprType&) [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Options = 0; Eigen::internal::evaluator >::XprType = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>, Eigen::Matrix, 0>]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Product.h:132:22: required from ‘Eigen::internal::dense_product_base::operator const Scalar() const [with Lhs = Eigen::Product, const Eigen::CwiseNullaryOp, const Eigen::Matrix >, const Eigen::Transpose > >, Eigen::Matrix, 0>; Rhs = Eigen::Matrix; int Option = 0; Eigen::internal::dense_product_base::Scalar = double]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:23:56: required from ‘double stan::mcmc::dense_e_metric::T(stan::mcmc::dense_e_point&) [with Model = model_continuous_namespace::model_continuous; BaseRNG = boost::random::additive_combine_engine, boost::random::linear_congruential_engine >]’ /usr/lib/R/site-library/StanHeaders/include/src/stan/mcmc/hmc/hamiltonians/dense_e_metric.hpp:22:10: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/DenseCoeffsBase.h:55:30: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] In file included from /usr/lib/R/site-library/RcppEigen/include/Eigen/Core:440, from /usr/lib/R/site-library/RcppEigen/include/Eigen/Dense:1, from /usr/lib/R/site-library/StanHeaders/include/stan/math/prim/mat/fun/Eigen.hpp:13, from /usr/lib/R/site-library/StanHeaders/include/src/stan/version.hpp:4, from /usr/lib/R/site-library/rstan/include/rstan/stan_fit.hpp:11, from /usr/lib/R/site-library/rstan/include/rstan/rstaninc.hpp:3, from stan_files/continuous.hpp:18, from stan_files/continuous.cc:3: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:269:8: required from ‘struct Eigen::internal::unary_evaluator, 1, 1, false> >, Eigen::internal::IndexBased, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:90:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: [ skipping 19 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:13: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] 960 | enum { | ^ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator >, 1, 1, false> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator >, 1, 1, false> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block >, 1, 1, false> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block >, 1, 1, false> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:13: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h: In instantiation of ‘struct Eigen::internal::evaluator, 1, 1, true> >’: /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:99:8: required from ‘struct Eigen::internal::evaluator, 1, 1, true> >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:681:51: required from ‘struct Eigen::internal::binary_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, true> >, Eigen::internal::IndexBased, Eigen::internal::IndexBased, double, double>’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:665:8: required from ‘struct Eigen::internal::evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:349:39: required from ‘class Eigen::internal::redux_evaluator, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, true> > >’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:416:17: required from ‘typename Eigen::internal::traits::Scalar Eigen::DenseBase::redux(const Func&) const [with BinaryOp = Eigen::internal::scalar_sum_op; Derived = Eigen::CwiseBinaryOp, const Eigen::Transpose, 1, 1, false> >, const Eigen::Block, 1, 1, true> >; typename Eigen::internal::traits::Scalar = double]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/Redux.h:453:73: [ skipping 16 instantiation contexts, use -ftemplate-backtrace-limit=0 to disable ] /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/AssignEvaluator.h:796:41: required from ‘void Eigen::internal::call_assignment(Dst&, const Src&, const Func&, typename Eigen::internal::enable_if::value, void*>::type) [with Dst = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >; Src = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Func = Eigen::internal::add_assign_op; typename Eigen::internal::enable_if::value, void*>::type = void*]’ /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CwiseBinaryOp.h:177:18: required from ‘Derived& Eigen::MatrixBase::operator+=(const Eigen::MatrixBase&) [with OtherDerived = Eigen::CwiseBinaryOp, const Eigen::Product, Eigen::Matrix, 0>, Eigen::Transpose >, 0>, const Eigen::Product >, Eigen::Matrix, 0>, Eigen::Matrix, 0> >; Derived = Eigen::CwiseUnaryView >::adj_Op, Eigen::Matrix >]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:70:13: required from ‘void stan::math::internal::quad_form_vari::chainB(Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:79:5: required from ‘void stan::math::internal::quad_form_vari::chainAB(Eigen::Matrix&, Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&, const Eigen::Matrix&) [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:92:5: required from ‘void stan::math::internal::quad_form_vari::chain() [with Ta = double; int Ra = -1; int Ca = -1; Tb = stan::math::var; int Rb = -1; int Cb = 1]’ /usr/lib/R/site-library/StanHeaders/include/stan/math/rev/mat/fun/quad_form.hpp:89:16: required from here /usr/lib/R/site-library/RcppEigen/include/Eigen/src/Core/CoreEvaluators.h:960:8: warning: ignoring attributes on template argument ‘Eigen::internal::packet_traits::type’ {aka ‘__vector(2) double’} [-Wignored-attributes] g++ -std=gnu++14 -I"/usr/share/R/include" -DNDEBUG -I"../inst/include" -I"/usr/lib/R/site-library/StanHeaders/include/src" -DBOOST_DISABLE_ASSERTS -DEIGEN_NO_DEBUG -DBOOST_MATH_OVERFLOW_ERROR_POLICY=errno_on_error -I"/usr/lib/R/site-library/StanHeaders/include" -I"/usr/lib/R/site-library/rstan/include" -I"/usr/lib/R/site-library/BH/include" -I"/usr/lib/R/site-library/Rcpp/include" -I"/usr/lib/R/site-library/RcppEigen/include" -fpic -g -O2 -fdebug-prefix-map=/build/r-base-jbaK_j/r-base-3.6.3=. -fstack-protector-strong -Wformat -Werror=format-security -Wdate-time -D_FORTIFY_SOURCE=2 -g -c init.cpp -o init.o g++ -std=gnu++14 -shared -L/usr/lib/R/lib -Wl,-Bsymbolic-functions -Wl,-z,relro -o rstanarm.so stan_files/polr.o stan_files/jm.o stan_files/lm.o stan_files/binomial.o stan_files/bernoulli.o stan_files/count.o stan_files/mvmer.o stan_files/continuous.o init.o -L/usr/lib/R/lib -lR rm stan_files/jm.cc stan_files/binomial.cc stan_files/lm.cc stan_files/continuous.cc stan_files/bernoulli.cc stan_files/polr.cc stan_files/count.cc stan_files/mvmer.cc make[1]: Leaving directory '/<>/src' make[1]: Entering directory '/<>/src' make[1]: Leaving directory '/<>/src' installing to /<>/debian/r-cran-rstanarm/usr/lib/R/site-library/00LOCK-r-cran-rstanarm-2.19.2/00new/rstanarm/libs ** R ** data *** moving datasets to lazyload DB ** demo ** inst ** byte-compile and prepare package for lazy loading ** help *** installing help indices *** copying figures ** building package indices ** installing vignettes ** testing if installed package can be loaded from temporary location Error: package or namespace load failed for ‘rstanarm’ in dyn.load(file, DLLpath = DLLpath, ...): unable to load shared object '/<>/debian/r-cran-rstanarm/usr/lib/R/site-library/00LOCK-r-cran-rstanarm-2.19.2/00new/rstanarm/libs/rstanarm.so': /<>/debian/r-cran-rstanarm/usr/lib/R/site-library/00LOCK-r-cran-rstanarm-2.19.2/00new/rstanarm/libs/rstanarm.so: undefined symbol: _ZN21model_count_namespace24csr_matrix_times_vector2IddEEN5Eigen6MatrixIN5boost4math5tools12promote_argsIT_T0_ffffE4typeELin1ELi1ELi0ELin1ELi1EEERKiSD_RKNS2_IS7_Lin1ELi1ELi0ELin1ELi1EEERKSt6vectorIiSaIiEESL_RKNS2_IS8_Lin1ELi1ELi0ELin1ELi1EEEPSo Error: loading failed Execution halted ERROR: loading failed * removing ‘/<>/debian/r-cran-rstanarm/usr/lib/R/site-library/rstanarm’ dh_auto_install: error: R CMD INSTALL -l /<>/debian/r-cran-rstanarm/usr/lib/R/site-library --clean . "--built-timestamp='Tue, 11 Feb 2020 07:01:55 +0100'" returned exit code 1 make: *** [debian/rules:4: binary] Error 25 dpkg-buildpackage: error: fakeroot debian/rules binary subprocess returned exit status 2 -------------------------------------------------------------------------------- Build finished at 20200407-1655 Finished -------- E: Build failure (dpkg-buildpackage died) +------------------------------------------------------------------------------+ | Cleanup | +------------------------------------------------------------------------------+ Purging /<> Not removing build depends: as requested +------------------------------------------------------------------------------+ | Summary | +------------------------------------------------------------------------------+ Build Architecture: amd64 Build-Space: 7036 Build-Time: 2414 Distribution: focal Fail-Stage: build Host Architecture: amd64 Install-Time: 49 Job: r-cran-rstanarm_2.19.2-2.dsc Machine Architecture: amd64 Package: r-cran-rstanarm Package-Time: 2464 Source-Version: 2.19.2-2 Space: 7036 Status: attempted Version: 2.19.2-2 -------------------------------------------------------------------------------- Finished at 20200407-1655 Build needed 00:41:04, 7036k disc space RUN: /usr/share/launchpad-buildd/bin/in-target scan-for-processes --backend=chroot --series=focal --arch=amd64 PACKAGEBUILD-18968057 Scanning for processes to kill in build PACKAGEBUILD-18968057